Papers: 10.1093/bib/bbt086
https://doi.org/10.1093/bib/bbt086
Comparison of software packages for detecting differential expression in RNA-seq studies
Cited by: 317
Author(s): Fatemeh Seyednasrollah, Asta Laiho, Laura L. Elo
Published: over 11 years ago
Software Mentions 7
bioconductor: baySeq
Empirical Bayesian analysis of patterns of differential expression in count dataPapers that mentioned: 139
Very Likely Science (100)
bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distributionPapers that mentioned: 9,583
Very Likely Science (100)
bioconductor: EBSeq
An R package for gene and isoform differential expression analysis of RNA-seq dataPapers that mentioned: 261
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
Very Likely Science (100)
Very Likely Science (78)
pypi: 2
Papers that mentioned: 499
Unlikely Science (0)
pypi: HTSeq
A framework to process and analyze data from high-throughput sequencing (HTS) assaysPapers that mentioned: 3,071
Very Likely Science (65)