Use when performing differential expression analysis on RNA-seq or count data using baySeq, an empirical Bayesian framework for DE analysis. Covers full workflow: constructing countData objects, estim
Use with AI
Install the MCP server or CLI to instantly fetch baySeq documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/bayseq
Bioconductor ExperimentHub — unified R interface for discovering and downloading global experimental genomics data resources (single-cell RNA-seq, bulk RNA-seq, ChIP-seq, ATAC-seq, proteomics, methyla
2 shared topics • 2 shared operations
HOMER (Hypergeometric Optimization of Motif EnRichment) — a comprehensive suite of tools for motif discovery and next-generation sequencing analysis. HOMER performs de novo motif finding optimized for
2 shared topics • 1 shared operation
RASQUAL (Robust Allele Specific QUantification and quality controL) — joint QTL mapping tool that integrates total read counts and allele-specific reads for cis-regulatory variant discovery. Detects i
2 shared topics • 1 shared operation
Use when working with systemPipeR, the Bioconductor workflow environment that combines R and command-line tools through CWL-backed workflow definitions. Covers systemPipeRdata::genWorkenvir, genWorken
2 shared topics • 1 shared operation
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
1 shared topic • 2 shared operations