!Series_title "A survey of human brain transcriptome diversity at the single cell level" !Series_geo_accession "GSE67835" !Series_status "Public on May 20 2015" !Series_submission_date "Apr 14 2015" !Series_last_update_date "Oct 06 2017" !Series_pubmed_id "26060301" !Series_summary "We used single cell RNA sequencing on 466 cells to capture the cellular complexity of the adult and fetal human brain at a whole transcriptome level. Healthy adult temporal lobe tissue was obtained from epileptic patients during temporal lobectomy for medically refractory seizures. We were able to classify individual cells into all of the major neuronal, glial, and vascular cell types in the brain." !Series_overall_design "Examination of cell types in healthy human brain samples." !Series_type "Expression profiling by high throughput sequencing" !Series_contributor "Spyros,,Darmanis" !Series_contributor "Martin,,Enge" !Series_contributor "Stephen,R,Quake" !Series_contributor "Steven,A,Sloan" !Series_contributor "Ben,A,Barres" !Series_contributor "Ye,,Zhang" !Series_contributor "Christine,,Caneda" !Series_contributor "Melanie,G,Hayden Gephart" !Series_contributor "Lawrence,M,Shuer" !Series_sample_id "GSM1657871 GSM1657872 GSM1657873 GSM1657874 GSM1657875 GSM1657876 GSM1657877 GSM1657878 GSM1657879 GSM1657880 GSM1657881 GSM1657882 GSM1657883 GSM1657884 GSM1657885 GSM1657886 GSM1657887 GSM1657888 GSM1657889 GSM1657890 GSM1657891 GSM1657892 GSM1657893 GSM1657894 GSM1657895 GSM1657896 GSM1657897 GSM1657898 GSM1657899 GSM1657900 GSM1657901 GSM1657902 GSM1657903 GSM1657904 GSM1657905 GSM1657906 GSM1657907 GSM1657908 GSM1657909 GSM1657910 GSM1657911 GSM1657912 GSM1657913 GSM1657914 GSM1657915 GSM1657916 GSM1657917 GSM1657918 GSM1657919 GSM1657920 GSM1657921 GSM1657922 GSM1657923 GSM1657924 GSM1657925 GSM1657926 GSM1657927 GSM1657928 GSM1657929 GSM1657930 GSM1657931 GSM1657932 GSM1657933 GSM1657934 GSM1657935 GSM1657936 GSM1657937 GSM1657938 GSM1657939 GSM1657940 GSM1657941 GSM1657942 GSM1657943 GSM1657944 GSM1657945 GSM1657946 GSM1657947 GSM1657948 GSM1657949 GSM1657950 GSM1657951 GSM1657952 GSM1657953 GSM1657954 GSM1657955 GSM1657956 GSM1657957 GSM1657958 GSM1657959 GSM1657960 GSM1657961 GSM1657962 GSM1657963 GSM1657964 GSM1657965 GSM1657966 GSM1657967 GSM1657968 GSM1657969 GSM1657970 GSM1657971 GSM1657972 GSM1657973 GSM1657974 GSM1657975 GSM1657976 GSM1657977 GSM1657978 GSM1657979 GSM1657980 GSM1657981 GSM1657982 GSM1657983 GSM1657984 GSM1657985 GSM1657986 GSM1657987 GSM1657988 GSM1657989 GSM1657990 GSM1657991 GSM1657992 GSM1657993 GSM1657994 GSM1657995 GSM1657996 GSM1657997 GSM1657998 GSM1657999 GSM1658000 GSM1658001 GSM1658002 GSM1658003 GSM1658004 GSM1658005 GSM1658006 GSM1658007 GSM1658008 GSM1658009 GSM1658010 GSM1658011 GSM1658012 GSM1658013 GSM1658014 GSM1658015 GSM1658016 GSM1658017 GSM1658018 GSM1658019 GSM1658020 GSM1658021 GSM1658022 GSM1658023 GSM1658024 GSM1658025 GSM1658026 GSM1658027 GSM1658028 GSM1658029 GSM1658030 GSM1658031 GSM1658032 GSM1658033 GSM1658034 GSM1658035 GSM1658036 GSM1658037 GSM1658038 GSM1658039 GSM1658040 GSM1658041 GSM1658042 GSM1658043 GSM1658044 GSM1658045 GSM1658046 GSM1658047 GSM1658048 GSM1658049 GSM1658050 GSM1658051 GSM1658052 GSM1658053 GSM1658054 GSM1658055 GSM1658056 GSM1658057 GSM1658058 GSM1658059 GSM1658060 GSM1658061 GSM1658062 GSM1658063 GSM1658064 GSM1658065 GSM1658066 GSM1658067 GSM1658068 GSM1658069 GSM1658070 GSM1658071 GSM1658072 GSM1658073 GSM1658074 GSM1658075 GSM1658076 GSM1658077 GSM1658078 GSM1658079 GSM1658080 GSM1658081 GSM1658082 GSM1658083 GSM1658084 GSM1658085 GSM1658086 GSM1658087 GSM1658088 GSM1658089 GSM1658090 GSM1658091 GSM1658092 GSM1658093 GSM1658094 GSM1658095 GSM1658096 GSM1658097 GSM1658098 GSM1658099 GSM1658100 GSM1658101 GSM1658102 GSM1658103 GSM1658104 GSM1658105 GSM1658106 GSM1658107 GSM1658108 GSM1658109 GSM1658110 GSM1658111 GSM1658112 GSM1658113 GSM1658114 GSM1658115 GSM1658116 GSM1658117 GSM1658118 GSM1658119 GSM1658120 GSM1658121 GSM1658122 GSM1658123 GSM1658124 GSM1658125 GSM1658126 GSM1658127 GSM1658128 GSM1658129 GSM1658130 GSM1658131 GSM1658132 GSM1658133 GSM1658134 GSM1658135 GSM1658136 GSM1658137 GSM1658138 GSM1658139 GSM1658140 GSM1658141 GSM1658142 GSM1658143 GSM1658144 GSM1658145 GSM1658146 GSM1658147 GSM1658148 GSM1658149 GSM1658150 GSM1658151 GSM1658152 GSM1658153 GSM1658154 GSM1658155 GSM1658156 GSM1658157 GSM1658158 GSM1658159 GSM1658160 GSM1658161 GSM1658162 GSM1658163 GSM1658164 GSM1658165 GSM1658166 GSM1658167 GSM1658168 GSM1658169 GSM1658170 GSM1658171 GSM1658172 GSM1658173 GSM1658174 GSM1658175 GSM1658176 GSM1658177 GSM1658178 GSM1658179 GSM1658180 GSM1658181 GSM1658182 GSM1658183 GSM1658184 GSM1658185 GSM1658186 GSM1658187 GSM1658188 GSM1658189 GSM1658190 GSM1658191 GSM1658192 GSM1658193 GSM1658194 GSM1658195 GSM1658196 GSM1658197 GSM1658198 GSM1658199 GSM1658200 GSM1658201 GSM1658202 GSM1658203 GSM1658204 GSM1658205 GSM1658206 GSM1658207 GSM1658208 GSM1658209 GSM1658210 GSM1658211 GSM1658212 GSM1658213 GSM1658214 GSM1658215 GSM1658216 GSM1658217 GSM1658218 GSM1658219 GSM1658220 GSM1658221 GSM1658222 GSM1658223 GSM1658224 GSM1658225 GSM1658226 GSM1658227 GSM1658228 GSM1658229 GSM1658230 GSM1658231 GSM1658232 GSM1658233 GSM1658234 GSM1658235 GSM1658236 GSM1658237 GSM1658238 GSM1658239 GSM1658240 GSM1658241 GSM1658242 GSM1658243 GSM1658244 GSM1658245 GSM1658246 GSM1658247 GSM1658248 GSM1658249 GSM1658251 GSM1658253 GSM1658255 GSM1658257 GSM1658259 GSM1658262 GSM1658264 GSM1658266 GSM1658268 GSM1658270 GSM1658272 GSM1658275 GSM1658277 GSM1658279 GSM1658281 GSM1658284 GSM1658286 GSM1658288 GSM1658290 GSM1658292 GSM1658294 GSM1658297 GSM1658299 GSM1658301 GSM1658304 GSM1658305 GSM1658306 GSM1658307 GSM1658308 GSM1658309 GSM1658310 GSM1658311 GSM1658312 GSM1658313 GSM1658314 GSM1658315 GSM1658316 GSM1658317 GSM1658318 GSM1658319 GSM1658320 GSM1658321 GSM1658322 GSM1658323 GSM1658324 GSM1658325 GSM1658326 GSM1658327 GSM1658328 GSM1658329 GSM1658330 GSM1658331 GSM1658332 GSM1658333 GSM1658334 GSM1658335 GSM1658336 GSM1658337 GSM1658338 GSM1658339 GSM1658340 GSM1658341 GSM1658342 GSM1658343 GSM1658344 GSM1658345 GSM1658346 GSM1658347 GSM1658348 GSM1658349 GSM1658350 GSM1658351 GSM1658352 GSM1658353 GSM1658354 GSM1658355 GSM1658356 GSM1658357 GSM1658358 GSM1658359 GSM1658360 GSM1658361 GSM1658362 GSM1658363 GSM1658364 GSM1658365 GSM1658366 " !Series_contact_name "Martin,,Enge" !Series_contact_email "martin.enge@ki.se" !Series_contact_department "Dep of Oncology-Pathology" !Series_contact_institute "Karolinska Institute" !Series_contact_address "CCK, Z4" !Series_contact_city "Stockholm" !Series_contact_zip/postal_code "S-171 76" !Series_contact_country "Sweden" !Series_supplementary_file "ftp://ftp-trace.ncbi.nlm.nih.gov/sra/sra-instant/reads/ByStudy/sra/SRP/SRP057/SRP057196" !Series_supplementary_file "ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE67nnn/GSE67835/suppl/GSE67835_RAW.tar" !Series_platform_id "GPL15520" !Series_platform_id "GPL18573" !Series_platform_taxid "9606" !Series_sample_taxid "9606" !Series_relation "BioProject: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA281204" !Series_relation "SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRP057196" !Sample_title "healthy cortex cell 122" "healthy cortex cell 123" "healthy cortex cell 124" "healthy cortex cell 125" "healthy cortex cell 126" "healthy cortex cell 127" "healthy cortex cell 128" "healthy cortex cell 129" "healthy cortex cell 130" "healthy cortex cell 131" "healthy cortex cell 132" "healthy cortex cell 133" "healthy cortex cell 134" "healthy cortex cell 135" "healthy cortex cell 314" "healthy cortex cell 315" "healthy cortex cell 316" "healthy cortex cell 317" "healthy cortex cell 318" "healthy cortex cell 319" "healthy cortex cell 320" "healthy cortex cell 321" "healthy cortex cell 322" "healthy cortex cell 323" "healthy cortex cell 324" "healthy cortex cell 325" "healthy cortex cell 326" "healthy cortex cell 327" "healthy cortex cell 328" "healthy cortex cell 329" "healthy cortex cell 330" "healthy cortex cell 331" "healthy cortex cell 332" "healthy cortex cell 333" "healthy cortex cell 334" "healthy cortex cell 335" "healthy cortex cell 336" "healthy cortex cell 337" "healthy cortex cell 338" "healthy cortex cell 339" "healthy cortex cell 340" "healthy cortex cell 341" "healthy cortex cell 342" "healthy cortex cell 343" "healthy cortex cell 344" "healthy cortex cell 345" "healthy cortex cell 346" "healthy cortex cell 347" "healthy cortex cell 348" "healthy cortex cell 349" "healthy cortex cell 350" "healthy cortex cell 351" "healthy cortex cell 352" "healthy cortex cell 353" "healthy cortex cell 354" "healthy cortex cell 355" "healthy cortex cell 356" "healthy cortex cell 357" "healthy cortex cell 358" "healthy cortex cell 359" "healthy cortex cell 360" "healthy cortex cell 361" "healthy cortex cell 362" "healthy cortex cell 363" "healthy cortex cell 364" "healthy cortex cell 365" "healthy cortex cell 366" "healthy cortex cell 367" "healthy cortex cell 368" "healthy cortex cell 369" "healthy cortex cell 370" "healthy cortex cell 371" "healthy cortex cell 372" "healthy cortex cell 373" "healthy cortex cell 374" "healthy cortex cell 375" "healthy cortex cell 376" "healthy cortex cell 377" "healthy cortex cell 378" "healthy cortex cell 379" "healthy cortex cell 380" "healthy cortex cell 381" "healthy cortex cell 382" "healthy cortex cell 383" "healthy cortex cell 384" "healthy cortex cell 385" "healthy cortex cell 386" "healthy cortex cell 387" "healthy cortex cell 388" "healthy cortex cell 389" "healthy cortex cell 390" "healthy cortex cell 391" "healthy cortex cell 392" "healthy cortex cell 393" "healthy cortex cell 394" "healthy cortex cell 395" "healthy cortex cell 396" "healthy cortex cell 397" "healthy cortex cell 398" "healthy cortex cell 399" "healthy cortex cell 400" "healthy cortex cell 401" "healthy cortex cell 402" "healthy cortex cell 403" "healthy cortex cell 404" "healthy cortex cell 405" "healthy cortex cell 406" "healthy cortex cell 407" "healthy cortex cell 408" "healthy cortex cell 409" "healthy cortex cell 410" "healthy cortex cell 411" "healthy cortex cell 412" "healthy cortex cell 413" "healthy cortex cell 414" "healthy cortex cell 415" "healthy cortex cell 416" "healthy cortex cell 417" "healthy cortex cell 418" "healthy cortex cell 419" "healthy cortex cell 420" "healthy cortex cell 421" "healthy cortex cell 422" "healthy cortex cell 423" "healthy cortex cell 424" "healthy cortex cell 425" "healthy cortex cell 426" "healthy cortex cell 427" "healthy cortex cell 428" "healthy cortex cell 429" "healthy cortex cell 430" "healthy cortex cell 431" "healthy cortex cell 432" "healthy cortex cell 433" "healthy cortex cell 434" "healthy cortex cell 435" "healthy cortex cell 436" "healthy cortex cell 437" !Sample_geo_accession "GSM1657992" "GSM1657993" "GSM1657994" "GSM1657995" "GSM1657996" "GSM1657997" "GSM1657998" "GSM1657999" "GSM1658000" "GSM1658001" "GSM1658002" "GSM1658003" "GSM1658004" "GSM1658005" "GSM1658184" "GSM1658185" "GSM1658186" "GSM1658187" "GSM1658188" "GSM1658189" "GSM1658190" "GSM1658191" "GSM1658192" "GSM1658193" "GSM1658194" "GSM1658195" "GSM1658196" "GSM1658197" "GSM1658198" "GSM1658199" "GSM1658200" "GSM1658201" "GSM1658202" "GSM1658203" "GSM1658204" "GSM1658205" "GSM1658206" "GSM1658207" "GSM1658208" "GSM1658209" "GSM1658210" "GSM1658211" "GSM1658212" "GSM1658213" "GSM1658214" "GSM1658215" "GSM1658216" "GSM1658217" "GSM1658218" "GSM1658219" "GSM1658220" "GSM1658221" "GSM1658222" "GSM1658223" "GSM1658224" "GSM1658225" "GSM1658226" "GSM1658227" "GSM1658228" "GSM1658229" "GSM1658230" "GSM1658231" "GSM1658232" "GSM1658233" "GSM1658234" "GSM1658235" "GSM1658236" "GSM1658237" "GSM1658238" "GSM1658239" "GSM1658240" "GSM1658241" "GSM1658242" "GSM1658243" "GSM1658244" "GSM1658245" "GSM1658246" "GSM1658247" "GSM1658248" "GSM1658249" "GSM1658251" "GSM1658253" "GSM1658255" "GSM1658257" "GSM1658259" "GSM1658262" "GSM1658264" "GSM1658266" "GSM1658268" "GSM1658270" "GSM1658272" "GSM1658275" "GSM1658277" "GSM1658279" "GSM1658281" "GSM1658284" "GSM1658286" "GSM1658288" "GSM1658290" "GSM1658292" "GSM1658294" "GSM1658297" "GSM1658299" "GSM1658301" "GSM1658304" "GSM1658305" "GSM1658306" "GSM1658307" "GSM1658308" "GSM1658309" "GSM1658310" "GSM1658311" "GSM1658312" "GSM1658313" "GSM1658314" "GSM1658315" "GSM1658316" "GSM1658317" "GSM1658318" "GSM1658319" "GSM1658320" "GSM1658321" "GSM1658322" "GSM1658323" "GSM1658324" "GSM1658325" "GSM1658326" "GSM1658327" "GSM1658328" "GSM1658329" "GSM1658330" "GSM1658331" "GSM1658332" "GSM1658333" "GSM1658334" "GSM1658335" "GSM1658336" "GSM1658337" !Sample_status "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" "Public on May 20 2015" !Sample_submission_date "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" "Apr 15 2015" !Sample_last_update_date "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" "Nov 06 2015" !Sample_type "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" "SRA" !Sample_channel_count "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" !Sample_source_name_ch1 "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" "Brain" !Sample_organism_ch1 "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" !Sample_characteristics_ch1 "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" "tissue: cortex" !Sample_characteristics_ch1 "cell type: astrocytes" "cell type: endothelial" "cell type: microglia" "cell type: endothelial" "cell type: microglia" "cell type: microglia" "cell type: astrocytes" "cell type: microglia" "cell type: astrocytes" "cell type: neurons" "cell type: neurons" "cell type: fetal_quiescent" "cell type: endothelial" "cell type: neurons" "cell type: astrocytes" "cell type: astrocytes" "cell type: astrocytes" "cell type: astrocytes" "cell type: microglia" "cell type: microglia" "cell type: astrocytes" "cell type: astrocytes" "cell type: neurons" "cell type: astrocytes" "cell type: neurons" "cell type: neurons" "cell type: microglia" "cell type: neurons" "cell type: neurons" "cell type: astrocytes" "cell type: neurons" "cell type: astrocytes" "cell type: astrocytes" "cell type: fetal_replicating" "cell type: fetal_replicating" "cell type: fetal_replicating" "cell type: fetal_replicating" "cell type: fetal_replicating" "cell type: fetal_replicating" "cell type: fetal_replicating" "cell type: fetal_replicating" "cell type: fetal_replicating" "cell type: fetal_replicating" "cell type: fetal_replicating" "cell type: fetal_replicating" "cell type: fetal_replicating" "cell type: fetal_replicating" "cell type: fetal_replicating" "cell type: fetal_replicating" "cell type: fetal_replicating" "cell type: fetal_replicating" "cell type: fetal_quiescent" "cell type: fetal_replicating" "cell type: fetal_quiescent" "cell type: fetal_replicating" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_replicating" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_replicating" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_replicating" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" "cell type: fetal_quiescent" !Sample_characteristics_ch1 "age: postnatal 47 years" "age: postnatal 47 years" "age: postnatal 47 years" "age: postnatal 47 years" "age: postnatal 47 years" "age: postnatal 63 years" "age: postnatal 63 years" "age: postnatal 63 years" "age: postnatal 63 years" "age: postnatal 63 years" "age: postnatal 22 years" "age: postnatal 22 years" "age: postnatal 22 years" "age: postnatal 22 years" "age: postnatal 47 years" "age: postnatal 47 years" "age: postnatal 47 years" "age: postnatal 47 years" "age: postnatal 47 years" "age: postnatal 47 years" "age: postnatal 47 years" "age: postnatal 47 years" "age: postnatal 47 years" "age: postnatal 47 years" "age: postnatal 47 years" "age: postnatal 47 years" "age: postnatal 47 years" "age: postnatal 47 years" "age: postnatal 47 years" "age: postnatal 47 years" "age: postnatal 47 years" "age: postnatal 47 years" "age: postnatal 47 years" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" "age: prenatal 16-18 W" !Sample_characteristics_ch1 "c1 chip id: nochipID12" "c1 chip id: nochipID12" "c1 chip id: nochipID12" "c1 chip id: nochipID12" "c1 chip id: nochipID12" "c1 chip id: nochipID14" "c1 chip id: nochipID14" "c1 chip id: nochipID14" "c1 chip id: nochipID14" "c1 chip id: nochipID14" "c1 chip id: nochipID15" "c1 chip id: nochipID15" "c1 chip id: nochipID15" "c1 chip id: nochipID15" "c1 chip id: nochipID9" "c1 chip id: nochipID9" "c1 chip id: nochipID9" "c1 chip id: nochipID9" "c1 chip id: nochipID9" "c1 chip id: nochipID9" "c1 chip id: nochipID9" "c1 chip id: nochipID9" "c1 chip id: nochipID9" "c1 chip id: nochipID9" "c1 chip id: nochipID9" "c1 chip id: nochipID9" "c1 chip id: nochipID9" "c1 chip id: nochipID9" "c1 chip id: nochipID9" "c1 chip id: nochipID9" "c1 chip id: nochipID9" "c1 chip id: nochipID9" "c1 chip id: nochipID9" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID10" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID11" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" "c1 chip id: nochipID13" !Sample_characteristics_ch1 "experiment_sample_name: AB_S1" "experiment_sample_name: AB_S1" "experiment_sample_name: AB_S1" "experiment_sample_name: AB_S1" "experiment_sample_name: AB_S1" "experiment_sample_name: AB_S2" "experiment_sample_name: AB_S2" "experiment_sample_name: AB_S2" "experiment_sample_name: AB_S2" "experiment_sample_name: AB_S2" "experiment_sample_name: AB_S3" "experiment_sample_name: AB_S3" "experiment_sample_name: AB_S3" "experiment_sample_name: AB_S3" "experiment_sample_name: AB_S1" "experiment_sample_name: AB_S1" "experiment_sample_name: AB_S1" "experiment_sample_name: AB_S1" "experiment_sample_name: AB_S1" "experiment_sample_name: AB_S1" "experiment_sample_name: AB_S1" "experiment_sample_name: AB_S1" "experiment_sample_name: AB_S1" "experiment_sample_name: AB_S1" "experiment_sample_name: AB_S1" "experiment_sample_name: AB_S1" "experiment_sample_name: AB_S1" "experiment_sample_name: AB_S1" "experiment_sample_name: AB_S1" "experiment_sample_name: AB_S1" "experiment_sample_name: AB_S1" "experiment_sample_name: AB_S1" "experiment_sample_name: AB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S1" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S2" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" "experiment_sample_name: FB_S3" !Sample_molecule_ch1 "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" "total RNA" !Sample_extract_protocol_ch1 "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" "C1 autoprep standard protocol" !Sample_extract_protocol_ch1 "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" "C1 autoprep standard protocol, followed by clontech single cell RNA-seq for Fluidigm C1 protocol" !Sample_extract_protocol_ch1 "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." "Nextera tagmentation according to Fluidigms standard protocol for single cell RNA-seq on the C1 autoprep system." !Sample_taxid_ch1 "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" !Sample_description "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" "Single cell from healthy human cortex" !Sample_data_processing "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." "Short read trimming: Prinseq to remove short reads (-min_len 30) trim the first 10 bp on the 5’-end (-trim_left 10), trim reads with low quality on the 3’-end (-trim_qual_right 25) and filter low complexity reads (-lc_method entropy \-lc_threshold 65). We used FASTQC to determine overrepresented sequences and removed those using cutadapt (-e 0.15 –m 30). We then used Prinseq to remove orphan pairs less than 30bp in length followed by removal of nextera adapters using Trim Galore (--stringency 1)." !Sample_data_processing "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." "Read alignment: reads were aligned to the hg19 genome with STAR using the following options (-outFilterType BySJout \--outFilterMultimapNmax 20 \--alignSJoverhangMin 8 \--alignSJDBoverhangMin 1 \--outFilterMismatchNmax 999 \--outFilterMismatchNoverLmax 0.04 \--alignIntronMin 20 \--alignIntronMax 1000000 \--alignMatesGapMax 1000000 \--outSAMstrandField intronMotif )." !Sample_data_processing "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." "Per-gene read assignement: aligned reads were converted to counts for every gene using HTSeq (-m intersection-nonempty \-s no)." !Sample_data_processing "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" "Genome_build: hg19" !Sample_data_processing "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text files with raw read values for each sample" "Supplementary_files_format_and_content: tab-delimited text 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"Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" "Karolinska Institute" !Sample_contact_address "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" "CCK, Z4" !Sample_contact_city "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" "Stockholm" !Sample_contact_zip/postal_code "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" "S-171 76" !Sample_contact_country "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" "Sweden" !Sample_data_row_count "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" !Sample_instrument_model "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" "Illumina MiSeq" !Sample_library_selection "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" "cDNA" !Sample_library_source "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" "transcriptomic" !Sample_library_strategy "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" "RNA-Seq" !Sample_relation "BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN03486263" "BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN03486264" "BioSample: 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"GSM1658190" "GSM1658191" "GSM1658192" "GSM1658193" "GSM1658194" "GSM1658195" "GSM1658196" "GSM1658197" "GSM1658198" "GSM1658199" "GSM1658200" "GSM1658201" "GSM1658202" "GSM1658203" "GSM1658204" "GSM1658205" "GSM1658206" "GSM1658207" "GSM1658208" "GSM1658209" "GSM1658210" "GSM1658211" "GSM1658212" "GSM1658213" "GSM1658214" "GSM1658215" "GSM1658216" "GSM1658217" "GSM1658218" "GSM1658219" "GSM1658220" "GSM1658221" "GSM1658222" "GSM1658223" "GSM1658224" "GSM1658225" "GSM1658226" "GSM1658227" "GSM1658228" "GSM1658229" "GSM1658230" "GSM1658231" "GSM1658232" "GSM1658233" "GSM1658234" "GSM1658235" "GSM1658236" "GSM1658237" "GSM1658238" "GSM1658239" "GSM1658240" "GSM1658241" "GSM1658242" "GSM1658243" "GSM1658244" "GSM1658245" "GSM1658246" "GSM1658247" "GSM1658248" "GSM1658249" "GSM1658251" "GSM1658253" "GSM1658255" "GSM1658257" "GSM1658259" "GSM1658262" "GSM1658264" "GSM1658266" "GSM1658268" "GSM1658270" "GSM1658272" "GSM1658275" "GSM1658277" "GSM1658279" "GSM1658281" "GSM1658284" "GSM1658286" "GSM1658288" "GSM1658290" "GSM1658292" "GSM1658294" "GSM1658297" "GSM1658299" "GSM1658301" "GSM1658304" "GSM1658305" "GSM1658306" "GSM1658307" "GSM1658308" "GSM1658309" "GSM1658310" "GSM1658311" "GSM1658312" "GSM1658313" "GSM1658314" "GSM1658315" "GSM1658316" "GSM1658317" "GSM1658318" "GSM1658319" "GSM1658320" "GSM1658321" "GSM1658322" "GSM1658323" "GSM1658324" "GSM1658325" "GSM1658326" "GSM1658327" "GSM1658328" "GSM1658329" "GSM1658330" "GSM1658331" "GSM1658332" "GSM1658333" "GSM1658334" "GSM1658335" "GSM1658336" "GSM1658337" !series_matrix_table_end