Ensembl VEP (Variant Effect Predictor) — annotates genomic variants with gene, transcript, protein, and regulatory consequences using Ensembl's annotation framework. Supports VCF, HGVS, and genomic co
Use with AI
Install the MCP server or CLI to instantly fetch VEP (Ensembl Variant Effect Predictor) documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/vep-ensembl
docker pull biocontainers/vep-ensembl:unknownVEP (Ensembl Variant Effect Predictor) — gold-standard tool for annotating and predicting the functional effects of genomic variants on genes, transcripts, and protein sequences. Provides consequence
2 shared topics • 2 shared operations
M-CAP (Mendelian Clinically Applicable Pathogenicity) is a clinical-grade pathogenicity classifier for rare human missense variants. Developed at the Bejerano Lab (Stanford), it applies a gradient-boo
2 shared topics • 1 shared operation
Use when querying ClinGen — the Clinical Genome Resource — for expert-curated gene-disease validity classifications, variant pathogenicity interpretations, dosage sensitivity assessments, and clinical
2 shared topics
TCGAbiolinks for searching, downloading, and analyzing cancer genomics data from the NCI Genomic Data Commons (GDC). Routes tasks for GDCquery/GDCdownload, data preparation with GDCprepare, differenti
1 shared topic
Zarr — chunked, compressed N-dimensional arrays for Python with cloud-native storage. Provides hierarchical groups, pluggable compression codecs (Blosc, Zstd, Gzip), sharding for large-scale datasets,
1 shared topic