TY - JOUR
T1 - Informatics for RNA Sequencing
T2 - A Web Resource for Analysis on the Cloud
AU - Griffith, Malachi
AU - Walker, Jason R.
AU - Spies, Nicholas C.
AU - Ainscough, Benjamin J.
AU - Griffith, Obi L.
N1 - Publisher Copyright:
© 2015 Griffith et al.
PY - 2015/8/1
Y1 - 2015/8/1
N2 - Massively parallel RNA sequencing (RNA-seq) has rapidly become the assay of choice for interrogating RNA transcript abundance and diversity. This article provides a detailed introduction to fundamental RNA-seq molecular biology and informatics concepts. We make available open-access RNA-seq tutorials that cover cloud computing, tool installation, relevant file formats, reference genomes, transcriptome annotations, quality-control strategies, expression, differential expression, and alternative splicing analysis methods. These tutorials and additional training resources are accompanied by complete analysis pipelines and test datasets made available without encumbrance at www.rnaseq.wik.
AB - Massively parallel RNA sequencing (RNA-seq) has rapidly become the assay of choice for interrogating RNA transcript abundance and diversity. This article provides a detailed introduction to fundamental RNA-seq molecular biology and informatics concepts. We make available open-access RNA-seq tutorials that cover cloud computing, tool installation, relevant file formats, reference genomes, transcriptome annotations, quality-control strategies, expression, differential expression, and alternative splicing analysis methods. These tutorials and additional training resources are accompanied by complete analysis pipelines and test datasets made available without encumbrance at www.rnaseq.wik.
UR - http://www.scopus.com/inward/record.url?scp=84940729658&partnerID=8YFLogxK
U2 - 10.1371/journal.pcbi.1004393
DO - 10.1371/journal.pcbi.1004393
M3 - Article
C2 - 26248053
AN - SCOPUS:84940729658
SN - 1553-734X
VL - 11
JO - PLoS computational biology
JF - PLoS computational biology
IS - 8
M1 - e1004393
ER -