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
Use with AI
Install the MCP server or CLI to instantly fetch HOMER (Hypergeometric Optimization of Motif EnRichment) documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/homer
ngs.plot — fast R-based visualization tool for next-generation sequencing data enrichment at functional genomic regions. Generates average profiles and heatmaps from BAM files over TSS, TES, gene bodi
3 shared topics • 1 shared operation
CytoTRACE -- computational method for predicting relative differentiation state of cells from single-cell RNA-seq data. Uses gene counts (number of detectably expressed genes per cell) as a robust pro
2 shared topics • 1 shared operation
DecontX — R/Bioconductor method in the celda package for estimating and removing ambient RNA contamination from droplet-based single-cell RNA-seq data. Uses a Bayesian Dirichlet mixture model over cel
2 shared topics • 1 shared operation
Use when working with pybedtools — pybedtools — Python interface to BEDTools
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