Papers: 10.1186/s12859-018-2445-2
https://doi.org/10.1186/s12859-018-2445-2
Empirical assessment of the impact of sample number and read depth on RNA-Seq analysis workflow performance
Cited by: 44
Author(s): Alyssa Baccarella, Claire Williams, Jay Z. Parrish, Charles C. Kim
Published: over 6 years ago
Software Mentions 7
bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distributionPapers that mentioned: 9,583
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
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bioconductor: tximport
Import and summarize transcript-level estimates for transcript- and gene-level analysisPapers that mentioned: 367
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