RT Journal Article
SR Electronic
T1 Software solutions for reproducible RNA-seq workflows
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 099028
DO 10.1101/099028
A1 Trevor Meiss
A1 Ling-Hong Hung
A1 Yuguang Xiong
A1 Eric Sobie
A1 Ka Yee Yeung
YR 2017
UL http://biorxiv.org/content/early/2017/01/06/099028.abstract
AB Computational workflows typically consist of many tools that are usually distributed as compiled binaries or source code. Each of these software tools typically depends on other installed software, and performance could potentially vary due to versions, updates, and operating systems. We show here that the analysis of mRNA-seq data can depend on the computing environment, and we demonstrate that software containers represent practical solutions that ensure the reproducibility of RNAseq data analyses.