Differential expression analysis of RNA-seq and other count data using empirical Bayes estimation of the dispersion parameter for the negative binomial model.
Use with AI
Install the MCP server or CLI to instantly fetch edgeR documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/edger
Use when performing differential gene expression analysis on RNA-seq count data using limma-voom. Covers the full workflow: count filtering with filterByExpr, TMM normalization via edgeR calcNormFacto
1 shared topic • 3 shared operations
Use when working with batchelor — the Bioconductor R package for batch correction of single-cell RNA-seq data. Removes batch effects using mutual nearest neighbours (fastMNN, mnnCorrect), linear resca
2 shared topics • 1 shared operation
GATK4 — Genome Analysis Toolkit for germline and somatic short variant discovery (SNPs and indels). Industry-standard caller providing HaplotypeCaller for germline, Mutect2 for somatic, plus Base Qual
2 shared topics • 1 shared operation
HTSeq — Python framework for high-throughput sequencing data analysis, primarily used for counting aligned reads overlapping genomic features (genes, exons) from SAM/BAM/CRAM files using GTF/GFF annot
2 shared topics • 1 shared operation
Strelka2 — fast and accurate small variant caller for germline and somatic analysis. Detects SNVs and indels (up to ~49 bp) from mapped paired-end sequencing reads with tiered haplotype modeling, adap
2 shared topics • 1 shared operation