bioinformatics
157
variant-population-frequency
Query gnomAD for variant allele frequency across populations. Uses FAVOR to convert rsID→variant_id first, then queries gnomAD.
InternScience
research
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
bioinformatics
157
protein-classification-analysis
Protein Classification Analysis - Classify protein: ChEMBL protein classification, UniProt entry, InterPro domains, and Ensembl biotypes. Use this skill for protein science tasks involving search protein classification get uniprotkb entry by accession query interpro get info biotypes. Combines 4 tools from 4 SCP server(s).
InternScience
research
bioinformatics
157
gget
CLI/Python toolkit for rapid bioinformatics queries. Preferred for quick BLAST searches. Access to 20+ databases: gene info (Ensembl/UniProt), AlphaFold, ARCHS4, Enrichr, OpenTargets, COSMIC, genome downloads. For advanced BLAST/batch processing, use biopython. For multi-database integration, use bioservices.
Microck
research
bioinformatics
157
tcga-gene-expression
Retrieve gene expression data from TCGA (The Cancer Genome Atlas) to analyze cancer-specific expression patterns.
InternScience
research
bioinformatics
157
snp-functional-analysis
SNP Functional Impact Analysis - Analyze SNP function: VEP prediction, variation details, phenotype association, and literature evidence. Use this skill for functional genomics tasks involving get vep id get variation get phenotype accession pubmed search. Combines 4 tools from 2 SCP server(s).
InternScience
research
bioinformatics
157
regulatory-region-analysis
Regulatory Region Analysis - Analyze regulatory regions: get overlapping features, binding matrix, sequence, and phenotype associations. Use this skill for epigenomics tasks involving get overlap region get species binding matrix get sequence get phenotype region. Combines 4 tools from 2 SCP server(s).
InternScience
research
bioinformatics
157
region-gene-elements
Query IGVF Catalog for regulatory element–gene associations within a genomic region, including association scores, element types, and biosample context.
InternScience
research
bioinformatics
157
rare-disease-genetics
Rare Disease Genetic Analysis - Analyze rare disease genetics: Monarch phenotype-disease mapping, ClinVar variants, NCBI gene data, and OpenTargets. Use this skill for rare disease genetics tasks involving get HPO ID by phenotype get joint associated diseases by HPO ID list clinvar search get associated targets by disease efoId. Combines 4 tools from 3 SCP server(s).
InternScience
research
bioinformatics
157
population-genetics
Population Genetics Analysis - Analyze population genetics: Ensembl variation populations, linkage disequilibrium, and variant frequency data. Use this skill for population genetics tasks involving get info variation populations get ld get variation get variant recoder. Combines 4 tools from 1 SCP server(s).
InternScience
research
bioinformatics
157
ncbi-gene-retrieval
Retrieve gene information from NCBI Gene database by gene IDs to obtain genomic details, function, and expression data.
InternScience
research
bioinformatics
157
ncbi-gene-deep-dive
NCBI Gene Deep Dive - Deep dive into NCBI gene: metadata, dataset report, product report, orthologs, and gene links. Use this skill for gene biology tasks involving get gene metadata by gene name get gene dataset report by id get gene product report by id get gene orthologs get gene links by id. Combines 5 tools from 1 SCP server(s).
InternScience
research
bioinformatics
157
multispecies-gene-analysis
Multi-Species Gene Analysis - Analyze gene across species: Ensembl homologs, NCBI orthologs, cross-species STRING similarity, and taxonomy. Use this skill for comparative genomics tasks involving get homology symbol get gene orthologs get best similarity hits between species get taxonomy. Combines 4 tools from 3 SCP server(s).
InternScience
research
bioinformatics
157
microbiome-genomics
Microbiome Genomics Analysis - Analyze microbial genome: NCBI genome data, taxonomy, KEGG metabolic pathways, and annotation. Use this skill for metagenomics tasks involving get genome dataset report by taxon get taxonomy kegg find get genome annotation report. Combines 4 tools from 2 SCP server(s).
InternScience
research
bioinformatics
157
kegg-gene-search
Search KEGG database for gene information to retrieve pathway associations, functional annotations, and disease links.
InternScience
research
bioinformatics
157
genome-annotation
Genome Annotation Pipeline - Annotate a genome: NCBI annotation report, Ensembl gene lookup, UCSC tracks, and KEGG pathway links. Use this skill for genomics tasks involving get genome annotation report get lookup symbol list tracks kegg link. Combines 4 tools from 4 SCP server(s).
InternScience
research
bioinformatics
156
immunotherapy-response-prediction
ToolUniverse workflow — Immunotherapy Response Prediction
lamm-mit
research
bioinformatics
156
immune-repertoire-analysis
ToolUniverse workflow — Immune Repertoire Analysis
lamm-mit
research
bioinformatics
156
gwas-database
Query NHGRI-EBI GWAS Catalog for SNP-trait associations. Search variants by rs ID, disease/trait, gene, retrieve p-values and summary statistics, for genetic epidemiology and polygenic risk scores.
lamm-mit
research
bioinformatics
156
gtars
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.
lamm-mit
research
bioinformatics
156
gwas-snp-interpretation
ToolUniverse workflow — Gwas Snp Interpretation
lamm-mit
research
bioinformatics
156
gget
Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST searches, AlphaFold structures, enrichment analysis. Best for interactive exploration, simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.
lamm-mit
research
bioinformatics
156
geometry-generator
Generate parametric bioinspired ribbed membrane STL geometry via LLM-guided design. Takes a spec JSON (from StructureAnalyst/PropertyPredictor upstream artifacts), calls the LLM with a structured CAD prompt to produce design parameters, then builds a triangulated STL mesh in Python. Returns artifact JSON with stl_path, mesh stats, and the prompt used.
lamm-mit
research