Software solutions for reproducible RNA-seq workflows
Software solutions for reproducible RNA-seq workflows
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.
Hung Ling-Hong、Xiong Yuguang、Sobie Eric、Meiss Trevor、Yeung Ka Yee
Institute of Technology, University of WashingtonIchahn School of Medicine at Mount SinaiIchahn School of Medicine at Mount SinaiInstitute of Technology, University of WashingtonInstitute of Technology, University of Washington
生物科学研究方法、生物科学研究技术计算技术、计算机技术分子生物学
Hung Ling-Hong,Xiong Yuguang,Sobie Eric,Meiss Trevor,Yeung Ka Yee.Software solutions for reproducible RNA-seq workflows[EB/OL].(2025-03-28)[2025-05-07].https://www.biorxiv.org/content/10.1101/099028.点此复制
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