2014
DOI: 10.1101/008409
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Gene Expression: edgeRun: an R package for sensitive, functionally relevant differential expression discovery using an unconditional exact test

Abstract: Summary:Next-generation sequencing platforms for measuring digital expression such as RNA-Seq are displacing traditional microarray-based methods in biological experiments. The detection of differentially expressed genes between groups of biological conditions has led to the development of numerous bioinformatics tools, but so far few, exploit the expanded dynamic range afforded by the new technologies. We present edgeRun, an R package that implements an unconditional exact test that is a more powerful version… Show more

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Cited by 12 publications
(14 citation statements)
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“…The number of reads aligned to each predicted transcript or intron was calculated by FeatureCounts (Liao et al ., ). Differential expression analysis of genes was performed with R package edgeRun (Dimont et al ., ) with the Benjamini and Hochberg's algorithm to control the false discovery rate (FDR). Genes with a FDR below 0.05 and log 2 fold‐change at least 1 were considered to be differently expressed genes.…”
Section: Methodsmentioning
confidence: 99%
“…The number of reads aligned to each predicted transcript or intron was calculated by FeatureCounts (Liao et al ., ). Differential expression analysis of genes was performed with R package edgeRun (Dimont et al ., ) with the Benjamini and Hochberg's algorithm to control the false discovery rate (FDR). Genes with a FDR below 0.05 and log 2 fold‐change at least 1 were considered to be differently expressed genes.…”
Section: Methodsmentioning
confidence: 99%
“…We investigated differential transcript abundances between treatments and controls with the EdgeR statistical package (Dimont et al, 2015). Metatranscriptomic responses to ADOC.…”
Section: Changes In Bacterioplankton Community Compositionmentioning
confidence: 99%
“…Metatranscriptomic responses to ADOC. We investigated differential transcript abundances between treatments and controls with the EdgeR statistical package (Dimont et al, 2015). As many as 4450 genes for the Arctic experiment and 2444 genes for Antarctica (728 transcripts in common) were significantly differentially expressed between treatment and control after 24 h of ADOC exposure.…”
Section: Changes In Bacterioplankton Community Compositionmentioning
confidence: 99%
“…Raw data were mapped to the human genome [30] using Bowtie2 2.2.6 [31]. Expression levels were evaluated using RSEM v1.2.25 [32] and differential expression between control samples and treated samples was performed using the edgeRun package [33]. Gene and transcript annotation used in the analysis correspond to Gencode v23, and molecular functions and assignations to the Gene Ontology Consortium [34] were performed with the Blast2 GO program [35].…”
Section: Transcriptomicsmentioning
confidence: 99%