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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1093/bioinformatics/btz089

https://doi.org/10.1093/bioinformatics/btz089

How well do RNA-Seq differential gene expression tools perform in a complex eukaryote? A case study in <i>Arabidopsis thaliana</i>

Cited by: 9
Author(s): Kimon Froussios, Nicholas J. Schurch, Katarzyna Mackinnon, Marek Gierliński, Céline Duc, Gordon G. Simpson, Geoffrey J. Barton
Published: over 6 years ago

Software Mentions 5

bioconductor: baySeq
Empirical Bayesian analysis of patterns of differential expression in count data
Papers that mentioned: 139
Very Likely Science (100)
bioconductor: DEGseq
Identify Differentially Expressed Genes from RNA-seq data
Papers that mentioned: 697
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
cran: STAR
Spike Train Analysis with R
Papers that mentioned: 5,759
Very Likely Science (100)