Empirical assessment of the impact of sample number and read depth on RNA-Seq analysis workflow performance
Abstract Background RNA-Sequencing analysis methods are rapidly evolving, and the tool choice for each step of one common workflow, differential expression analysis, which includes read alignment, expression modeling, and differentially expressed gene identification, has a dramatic impact on perform...
Main Authors: | Alyssa Baccarella, Claire R. Williams, Jay Z. Parrish, Charles C. Kim |
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Format: | Article |
Language: | English |
Published: |
BMC
2018-11-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-018-2445-2 |
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