{"id":"W2236822143","doi":"10.1186/s13059-016-0881-8","title":"A survey of best practices for RNA-seq data analysis","year":2016,"lang":"en","type":"review","venue":"Genome biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2886,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Institute of General Medical Sciences; European Regional Development Fund; National Key Research and Development Program of China; Seventh Framework Programme; Medical Research Council; Science for Life Laboratory; Åbo Akademi; Simon Fraser University; Sigrid Juséliuksen Säätiö; Tsinghua National Laboratory for Information Science and Technology; Uniwersytet im. Adama Mickiewicza w Poznaniu; Karolinska Institutet; Turun Yliopisto; Academy of Finland; Tsinghua University; Wellcome Trust; Helsingin Yliopisto","keywords":"RNA-Seq; Biology; Computational biology; Expression quantitative trait loci; Transcriptome; Functional genomics; Genomics; RNA; RNA splicing; Alternative splicing; Gene; Pipeline (software); Genetics; Gene expression; Genome; Computer science; Exon; Single-nucleotide polymorphism","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null}