Updated 3mo ago
by bioMate-AI
biomate-bioconductor-kb
BioMate-KB Bioconductor Skills — 200 packages (top 100 by downloads + 100 rising stars) as vignette-grounded Claude/agent skills, with per-package workflow recipes
797 GitHub stars (797)
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- 30 skills (30 skills found in its SKILL.md files)
- 67 forks (67 forks)
- 3mo ago last update (Last updated 3mo ago)
Install
Skills CLI
npx skills add bioMate-AI/biomate-bioconductor-kb
Asks which skills and agents to install. Just one: npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-biomart — add -g for every project.
Claude Code
git clone https://github.com/bioMate-AI/biomate-bioconductor-kbcp -r "biomate-bioconductor-kb/skills/annotation/biomart" ~/.claude/skills/
Copies the bioconductor-biomart skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add bioMate-AI/biomate-bioconductor-kb
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md — showing the first 30 of 200 files.
-
bioconductor-biomart
In recent years a wealth of biological data has become available in public data repositories. Easy access to these valuable data resources and firm integration with data analysis is needed for comprehensive bioinformatics data analysis. bio
skills/annotation/biomart/SKILL.md on GitHub (opens in a new tab) -
bioconductor-kegggraph
KEGGGraph is an interface between KEGG pathway and graph object as well as a collection of tools to analyze, dissect and visualize these graphs. It parses the regularly updated KGML (KEGG XML) files into graph models maintaining all essenti
skills/annotation/kegggraph/SKILL.md on GitHub (opens in a new tab) -
bioconductor-enrichplot
The 'enrichplot' package implements several visualization methods for interpreting functional enrichment results obtained from ORA or GSEA analysis. It is mainly designed to work with the 'clusterProfiler' package suite. All the visualizati
skills/enrichment/enrichplot/SKILL.md on GitHub (opens in a new tab) -
bioconductor-reactomepa
Reactome is a free, open-source, curated and peer-reviewed pathway database. Their goal is to provide intuitive bioinformatics tools for the visualization, interpretation and analysis of pathway knowledge.
skills/enrichment/reactomepa/SKILL.md on GitHub (opens in a new tab) -
bioconductor-bumphunter
Tools for finding bumps in genomic data
skills/epigenomics/bumphunter/SKILL.md on GitHub (opens in a new tab) -
bioconductor-chipseeker
ChIPseeker is a Bioconductor package for annotating ChIP-seq data analysis. Peak Annotation is performed by the annotatePeak function. The position and strand information of nearest genes are reported, in addition to the distance from the p
skills/epigenomics/chipseeker/SKILL.md on GitHub (opens in a new tab) -
bioconductor-epigrahmm
epigraHMM provides a set of tools for the analysis of epigenomic data based on hidden Markov Models. It contains two separate peak callers, one for consensus peaks from biological or technical replicates, and one for differential peaks from multi-replicate multi-condition experiments. In differential peak calling, epigraHMM provides window-specific posterior probabilities associated with every po…
skills/epigenomics/epigrahmm/SKILL.md on GitHub (opens in a new tab) -
bioconductor-extrachips
This package builds on existing tools and adds some simple but extremely useful capabilities for working wth ChIP-Seq data. The focus is on detecting differential binding windows/regions. One set of functions focusses on set-operations retaining mcols for GRanges objects, whilst another group of functions are to aid visualisation of results. Coercion to tibble objects is also implemented.
skills/epigenomics/extrachips/SKILL.md on GitHub (opens in a new tab) -
bioconductor-hicdcplus
Systematic 3D interaction calls and differential analysis for Hi-C and HiChIP. The HiC-DC+ (Hi-C/HiChIP direct caller plus) package enables principled statistical analysis of Hi-C and HiChIP data sets – including calling significant interactions within a single experiment and performing differential analysis between conditions given replicate experiments – to facilitate global integrative studies…
skills/epigenomics/hicdcplus/SKILL.md on GitHub (opens in a new tab) -
bioconductor-hicexperiment
R generic interface to Hi-C contact matrices in `.(m)cool`, `.hic` or HiC-Pro derived formats, as well as other Hi-C processed file formats. Contact matrices can be partially parsed using a random access method, allowing a memory-efficient representation of Hi-C data in R. The `HiCExperiment` class stores the Hi-C contacts parsed from local contact matrix files. `HiCExperiment` instances can be f…
skills/epigenomics/hicexperiment/SKILL.md on GitHub (opens in a new tab) -
bioconductor-hicontacts
HiContacts provides a collection of tools to analyse and visualize Hi-C datasets imported in R by HiCExperiment.
skills/epigenomics/hicontacts/SKILL.md on GitHub (opens in a new tab) -
bioconductor-macsr
The Model-based Analysis of ChIP-Seq (MACS) is a widely used toolkit for identifying transcript factor binding sites. This package is an R wrapper of the lastest MACS3.
skills/epigenomics/macsr/SKILL.md on GitHub (opens in a new tab) -
bioconductor-miasim
Microbiome time series simulation with generalized Lotka-Volterra model, Self-Organized Instability (SOI), and other models. Hubbell's Neutral model is used to determine the abundance matrix. The resulting abundance matrix is applied to (Tree)SummarizedExperiment objects.
skills/epigenomics/miasim/SKILL.md on GitHub (opens in a new tab) -
bioconductor-minfi
Tools to analyze & visualize Illumina Infinium methylation arrays.
skills/epigenomics/minfi/SKILL.md on GitHub (opens in a new tab) -
bioconductor-basilisk
Installs a self-contained conda instance that is managed by the R/Bioconductor installation machinery. This aims to provide a consistent Python environment that can be used reliably by Bioconductor packages. Functions are also provided to e
skills/general/basilisk/SKILL.md on GitHub (opens in a new tab) -
bioconductor-biobase
Functions that are needed by many other packages or which replace R functions.
skills/general/biobase/SKILL.md on GitHub (opens in a new tab) -
bioconductor-biovizbase
The biovizBase package is designed to provide a set of utilities, color schemes and conventions for genomic data. It serves as the base for various high-level packages for biological data visualization. This saves development effort and enc
skills/general/biovizbase/SKILL.md on GitHub (opens in a new tab) -
bioconductor-dose
This package implements five methods proposed by Resnik, Schlicker, Jiang, Lin and Wang respectively for measuring semantic similarities among DO terms and gene products. Enrichment analyses including hypergeometric model and gene set enric
skills/general/dose/SKILL.md on GitHub (opens in a new tab) -
bioconductor-experimenthub
This package provides a client for the Bioconductor ExperimentHub web resource. ExperimentHub provides a central location where curated data from experiments, publications or training courses can be accessed. Each resource has associated me
skills/general/experimenthub/SKILL.md on GitHub (opens in a new tab) -
bioconductor-faers
The FDA Adverse Event Reporting System (FAERS) is a database used for the spontaneous reporting of adverse events and medication errors related to human drugs and therapeutic biological products. faers pacakge serves as the interface between the FAERS database and R. Furthermore, faers pacakge offers a standardized approach for performing pharmacovigilance analysis.
skills/general/faers/SKILL.md on GitHub (opens in a new tab) -
bioconductor-gdsfmt
Provides a high-level R interface to CoreArray Genomic Data Structure (GDS) data files. GDS is portable across platforms with hierarchical structure to store multiple scalable array-oriented data sets with metadata information. It is suited
skills/general/gdsfmt/SKILL.md on GitHub (opens in a new tab) -
bioconductor-genefilter
Some basic functions for filtering genes.
skills/general/genefilter/SKILL.md on GitHub (opens in a new tab) -
bioconductor-geneplotter
Functions for plotting genomic data
skills/general/geneplotter/SKILL.md on GitHub (opens in a new tab) -
bioconductor-graphite
Graph objects from pathway topology derived from KEGG, Panther, PathBank, PharmGKB, Reactome SMPDB and WikiPathways databases.
skills/general/graphite/SKILL.md on GitHub (opens in a new tab) -
bioconductor-gypsum
Client for the gypsum REST API (https://gypsum.artifactdb.com), a cloud-based file store in the ArtifactDB ecosystem. This package provides functions for uploads, downloads, and various adminstrative and management tasks. Check out the docu
skills/general/gypsum/SKILL.md on GitHub (opens in a new tab) -
bioconductor-immunotation
MHC (major histocompatibility complex) molecules are cell surface complexes that present antigens to T cells. The repertoire of antigens presented in a given genetic background largely depends on the sequence of the encoded MHC molecules, and thus, in humans, on the highly variable HLA (human leukocyte antigen) genes of the hyperpolymorphic HLA locus. More than 28,000 different HLA alleles have b…
skills/general/immunotation/SKILL.md on GitHub (opens in a new tab) -
bioconductor-mosbi
This package is a implementation of biclustering ensemble method MoSBi (Molecular signature Identification from Biclustering). MoSBi provides standardized interfaces for biclustering results and can combine their results with a multi-algorithm ensemble approach to compute robust ensemble biclusters on molecular omics data. This is done by computing similarity networks of biclusters and filtering…
skills/general/mosbi/SKILL.md on GitHub (opens in a new tab) -
bioconductor-multiassayexperiment
Harmonize data management of multiple experimental assays performed on an overlapping set of specimens. It provides a familiar Bioconductor user experience by extending concepts from SummarizedExperiment, supporting an open-ended mix of st
skills/general/multiassayexperiment/SKILL.md on GitHub (opens in a new tab) -
bioconductor-pcamethods
Provides Bayesian PCA, Probabilistic PCA, Nipals PCA, Inverse Non-Linear PCA and the conventional SVD PCA. A cluster based method for missing value estimation is included for comparison. BPCA, PPCA and NipalsPCA may be used to perform PCA o
skills/general/pcamethods/SKILL.md on GitHub (opens in a new tab) -
bioconductor-qvalue
This package takes a list of p-values resulting from the simultaneous testing of many hypotheses and estimates their q-values and local FDR values. The q-value of a test measures the proportion of false positives incurred (called the false
skills/general/qvalue/SKILL.md on GitHub (opens in a new tab)
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.