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Use when working with nf-core/differentialabundance — a reproducible Nextflow pipeline for differential abundance analysis of count data from RNA-seq, ATAC- seq, proteomics, or any feature-by-sample c
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Install the MCP server or CLI to instantly fetch nf-core/differentialabundance documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/nf-coredifferentialabundance
Differential expression analysis for RNA-seq data using negative binomial generalized linear models with size factor normalization and empirical Bayes shrinkage.
2 shared topics • 2 shared operations
Perseus — computational platform for comprehensive statistical analysis of quantitative proteomics data. Companion to MaxQuant, Perseus provides an interactive workflow environment for processing prot
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PyDESeq2 — Python implementation of DESeq2 for differential gene expression analysis from bulk RNA-seq count data. Performs size factor normalization, genewise dispersion estimation, Wald tests with B
2 shared topics • 2 shared operations
scde is a Bioconductor R package for Bayesian single-cell differential expression analysis using mixture models. It fits a per-cell error model (negative binomial + Poisson noise) to raw count data, t
2 shared topics • 2 shared operations
ballgown -- R/Bioconductor package for flexible isoform-level differential expression analysis of RNA-seq experiments. Works with StringTie output (.ctab files) to test for differential expression at
2 shared topics • 1 shared operation