Browse the BioContext7 deep skill library. Tool pages surface documentation, registry links, and install details for agent-facing workflows.
2,064 tools — page 26 of 42
| Tool | Registry | Domain | Docs |
|---|---|---|---|
GBS-SNP-CROP (Genotyping-by-Sequencing SNP Calling Reference Optional Pipeline) is a reference-optional Perl pipeline for SNP and haplotype discovery from GBS (genotyping-by-sequencing) data in plant | halelab/GBS-SNP-CROP | Other | 8 |
GenAlEx — Microsoft Excel add-in for population genetics analysis. Implements AMOVA, PCA, PCoA, FST, genetic distance, and assignment tests within Excel worksheets. Supports microsatellite, SNP, haplo | manual | Other | 9 |
Gene Ontology (GO) tools for biological annotation, GO enrichment analysis, and ontology-based gene set analysis. Supports downloading and parsing GO ontology files (.obo), gene association files (GAF |
| tanghaibao/goatools |
| Utilities & Infrastructure |
| 8 |
GeneAbacus — fast Go-based tool for counting and profiling sequencing reads within genes, chromosomes, or constructs from SAM/BAM files. Supports mRNA-seq, Ribo-seq, ChIP-seq, CLIP-seq, Structure-seq, | ezouras/GeneAbacus | Transcriptomics | 8 |
Use when working with GeneiASE — allele-specific expression (ASE) detection from RNA-seq data using phased heterozygous SNPs. Detects gene-level allelic imbalance by counting reference and alternative | genomics-geek/GeneiASE | Transcriptomics | 8 |
GeneMark — gene prediction and genome annotation suite for prokaryotic and eukaryotic organisms. Identifies protein-coding genes in genomic DNA using Hidden Markov Models and self-training algorithms. | Gaius-Augustus/BRAKER | Genomics | 8 |
Use when working with the GENESIS R/Bioconductor package for statistical genetics, GWAS mixed models, population structure analysis, or kinship estimation. GENESIS provides PC-AiR for population struc | UW-GAC/GENESIS | Population Genetics | 8 |
GenomePeek is a hosted marker-gene screen for rapid taxonomic inspection of prokaryotic genome and metagenome sequence files. It extracts reads matching conserved marker genes, assembles them, and cla | minillinim/GenomePeek | Metagenomics | 8 |
GenomeScope — reference-free genome profiling from k-mer count histograms. Estimates genome size, heterozygosity, and repeat content using a negative binomial mixture model. Supports diploid (GenomeSc | schatzlab/genomescope | Genomics | 8 |
Use when working with GenomicAlignments, GAlignments, GAlignmentPairs, summarizeOverlaps(), summarizeJunctions(), coverage() on BAM files, splice junction counting, paired-end alignment import, or Bio | manual | Utilities & Infrastructure | 8 |
Use when working with genomicfeatures — genomicFeatures — Bioconductor | Bioconductor/GenomicFeatures | Utilities & Infrastructure | 8 |
GenomicSEM — R package for structural equation modeling (SEM) on genome-wide association study (GWAS) summary statistics. Enables fitting SEM models without individual-level SNP data, conducting multi | GenomicSEM/GenomicSEM | Population Genetics | 8 |
Use when working with GenVisR, the R/Bioconductor package for genomic cohort visualization. Supports cohort oncoprints with `Waterfall()`, protein-domain mutation maps with `Lolliplot()`, copy-number | griffithlab/GenVisR | Imaging | 8 |
Use when working with GEOquery, the Bioconductor R package for downloading, searching, and parsing NCBI Gene Expression Omnibus records into Bioconductor-friendly objects. Covers `getGEO()` for GSE/GS | seandavi/GEOquery | Workflows | 8 |
ggalluvial — R package extending ggplot2 for alluvial diagrams (Sankey-style flow diagrams) that visualize categorical data flows, longitudinal transitions, and multi-variable category distributions. | corybrunson/ggalluvial | Visualization | 8 |
Use when working with ggforce, the R package that extends ggplot2 with advanced geoms and statistical transformations for scientific visualization. Covers geom_mark_ellipse, geom_mark_hull, geom_mark_ | thomasp85/ggforce | Visualization | 9 |
Use when working with the R package ggpubr for publication-ready ggplot2-based visualizations in biomedical and life sciences contexts. ggpubr provides ggboxplot, ggviolin, ggbarplot, ggscatter, gghis | kassambara/ggpubr | Visualization | 8 |
ggraph — R package extending ggplot2 for network and graph visualization. Provides a grammar-of-graphics approach to drawing nodes, edges, and layouts for arbitrary graph objects (igraph, tidygraph). | thomasp85/ggraph | Visualization | 8 |
Fit Gamma-Poisson (negative binomial) generalized linear models for single-cell and spatial RNA-seq data. Use this skill for differential expression analysis, overdispersion estimation, pseudobulk agg | const-ae/glmGamPoi | Single-Cell | 8 |
gnomAD Python Methods — The official Broad Institute Python library (`gnomad` on PyPI) for analyzing Genome Aggregation Database data with Hail. Use when users need to programmatically load gnomAD pub | broadinstitute/gnomad_methods | Genomics | 7 |
gnomAD browser — Broad Institute web application and GraphQL API for exploring the Genome Aggregation Database (gnomAD). Use when users need to look up variant allele frequencies in population cohorts | broadinstitute/gnomad-browser | Utilities & Infrastructure | 8 |
gnomAD toolbox — Python utilities for querying gnomAD variant databases and population genetics data from the Broad Institute. Look up variant allele frequencies, population-stratified frequencies (af | broadinstitute/gnomad-toolbox | Utilities & Infrastructure | 8 |
GNPS/FBMN routing skill for metabolomics and lipidomics molecular networking via the Global Natural Products Social (GNPS) platform and Feature-Based Molecular Networking (FBMN) workflow. Use this ski | CCMS-UCSD/GNPS_Workflows | Proteomics | 8 |
Use when working with GONE — Genomic Oscillations in Ne — a software tool for estimating historical effective population size (Ne) from genomic data using linkage disequilibrium (LD) patterns. Support | esrud/GONE | Other | 8 |
Gramene — comparative plant genomics database covering 100+ plant genomes including rice, maize, wheat, sorghum, and Arabidopsis. Provides gene search, cross-species ortholog and paralog mapping via g | warelab/gramene-search | Utilities & Infrastructure | 8 |
Use when working with graph-tool for graph analysis, network science, community detection, stochastic block model (SBM) inference, or graph visualization in Python. graph-tool provides a fast C++/Open | count0/graph-tool | Machine Learning | 8 |
Use when working with Graphein to build biomolecular and interaction graphs for geometric deep learning or network analysis. Covers protein structure graphs from PDB/AlphaFold, small-molecule graphs f | a-r-j/graphein | Machine Learning | 8 |
Use when working with GraphST for spatial transcriptomics analysis, including spatial domain clustering, multi-sample integration, and scRNA-to-spatial deconvolution. Trigger on "GraphST", "spatial tr | JinmiaoChenLab/GraphST | Imaging | 8 |
GSMR (Genome-wide Summary-data-based Mendelian Randomization) tests for putative causal relationships between complex traits using GWAS summary data only. Uses all GWAS-significant independent SNPs as | jianyangqt/gsmr | Population Genetics | 8 |
Use when working with GSVA (Gene Set Variation Analysis) for sample-wise gene set enrichment scoring from RNA-seq or microarray expression data. GSVA computes continuous enrichment scores per sample u | rcastelo/GSVA | Transcriptomics | 8 |
Use when working with Gviz, the Bioconductor R package for plotting genomic coordinates, annotations, signal tracks, read alignments, and sequence context in genome-browser-style figures. Covers core | manual | Imaging | 8 |
gwasglue — R package that connects IEU Open GWAS summary data to downstream statistical genetics analysis tools. Bridges GWAS summary statistics to Mendelian randomization (TwoSampleMR), colocalisatio | MRCIEU/gwasglue | Population Genetics | 8 |
GWASLab is a Python toolkit for handling GWAS summary statistics (sumstats) with object-oriented workflows for loading, QC, harmonization, format conversion, and visualization. Use this skill when use | Cloufield/gwaslab | Population Genetics | 8 |
Use when working with GWASTools — a Bioconductor R package for quality control, management, and analysis of Genome-Wide Association Studies (GWAS). Covers reading GDS or netCDF genotype data with GdsG | smgogarten/GWASTools | Population Genetics | 8 |
gwasvcf — R package for reading, writing, and querying GWAS summary statistics stored in VCF format (GWAS-VCF specification). Provides fast variant extraction by chromosome/position, rsID, or p-value | MRCIEU/gwasvcf | Population Genetics | 8 |
HAPPI-GWAS (Holistic Analysis with Pre- and Post-Integration GWAS) routing skill for genome-wide association studies in food science, agriculture, and aquaculture. Use this skill when users mention HA | Roslin-Aquaculture/HAPPI-GWAS | Other | 8 |
HDBSCAN for density-based clustering with variable-density groups and explicit noise labeling. Use this skill for `hdbscan.HDBSCAN`, cluster stability analysis, soft membership probabilities, GLOSH ou | scikit-learn-contrib/hdbscan | Statistics | 8 |
HDF5Array — Bioconductor R package providing HDF5-backed DelayedArray objects for out-of-memory access to large genomics matrices. Core infrastructure for single-cell RNA-seq workflows. Key classes: H | manual | Utilities & Infrastructure | 8 |
Hecatomb is a viral metagenomics framework for short reads and long reads that wraps a Snakemake pipeline for preprocessing, iterative viral annotation, optional assembly, host-read removal, and downs | shandley/hecatomb | Metagenomics | 8 |
Helixer is a deep learning tool for eukaryotic gene prediction and annotation using cross-species LSTM models. Use it to predict gene structures (UTRs, exons, introns, intergenic regions) from raw gen | weberlab-hhu/Helixer | Other | 8 |
Use when estimating SNP heritability, local heritability, or genetic architecture from GWAS summary statistics. Covers per-locus heritability partitioning, total heritability estimation, LD matrix com | huwenboshi/hess | Population Genetics | 8 |
Use this skill for hicstuff, the Python CLI/library for Hi-C contact-map generation and manipulation. Covers end-to-end `hicstuff pipeline` execution, command-level workflows (`digest`, `filter`, `vie | koszullab/hicstuff | Genomics | 8 |
HiCUP (Hi-C User Pipeline) is a modular pipeline for mapping and performing quality control on Hi-C sequencing data. Processes paired-end FASTQ reads through four stages: truncation at ligation juncti | StevenWingett/HiCUP | Genomics | 9 |
HMDB tools routing skill for metabolomics and lipidomics compound annotation using the Human Metabolome Database. Use this skill when users mention HMDB, Human Metabolome Database, HMDB IDs, HMDB REST | Hordago-Labs/biocontext7 | Systems Biology | 8 |
CHORD (Classifier of Homologous Recombination Deficiency) — R package for predicting HRD status in tumors from somatic mutation patterns (SNVs, indels, structural variants). Uses random forest classif | UMCUGenetics/CHORD | Genomics | 8 |
Use when working with the i5k Workspace@NAL for insect and arthropod genome browsing, annotation, and analysis. Covers genome data access via JBrowse, Apollo-based manual annotation, data uploads (FAS | manual | Other | 8 |
Use when working with iBioSim — a computer-aided design (CAD) tool for modeling, analysis, and synthesis of genetic regulatory networks (GRNs) and synthetic biology circuits. Supports SBML (Systems Bi | MyersResearchGroup/iBioSim | Systems Biology | 8 |
Use when working with ICTV-VBEG resources for computational virus taxonomy, phage assembly and annotation, phage genome download and reannotation, or mash-based phage community partitioning. Covers th | ICTV-VBEG/ICTV-TaxonomyChallenge | Metagenomics | 8 |
ieugwasr (IEU GWAS API in R) -- R package for querying the IEU GWAS database, accessing summary statistics from 47,000+ GWAS studies. Enables genome-wide association study data retrieval, effect size | MRCIEU/ieugwasr | Genomics | 8 |
IgFold — fast antibody structure prediction using language model embeddings. Predicts 3D structures of antibody variable domains (Fv) from amino acid sequence alone, without multiple sequence alignmen | Graylab/IgFold | Machine Learning | 8 |