Title
Software Solutions for Reproducible RNA-seq Workflows
Publication Date
1-6-2017
Document Type
Article
Abstract
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.
Disciplinary Repository
bioRxiv
DOI
10.1101/099028
Publisher Policy
open access
Open Access Status
OA Disciplinary Repository
Recommended Citation
Meiss, Trevor; Hung, Ling-Hong; Xiong, Yuguang; Sobie, Eric; and Yeung, Ka Yee, "Software Solutions for Reproducible RNA-seq Workflows" (2017). School of Engineering and Technology Publications. 279.
https://digitalcommons.tacoma.uw.edu/tech_pub/279
