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Article
Software Solutions for Reproducible RNA-seq Workflows
bioRxiv
  • Trevor Meiss
  • Ling-Hong Hung
  • Yuguang Xiong
  • Eric Sobie
  • Ka Yee Yeung, University of Washington Tacoma
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.

DOI
10.1101/099028
Version
open access
Citation Information
Trevor Meiss, Ling-Hong Hung, Yuguang Xiong, Eric Sobie, et al.. "Software Solutions for Reproducible RNA-seq Workflows" bioRxiv (2017)
Available at: http://works.bepress.com/ky-yeung/24/