gget — биоинформатический анализ генов и белков

★ 7.0 · data

gget is a Claude Code skill that provides unified access to 20+ bioinformatics databases via CLI and Python, targeting gget 0.30.5 (Python ≥ 3.8). It exposes 23 modules across six categories: reference and gene information (search, info, seq, ref), sequence alignment (blast, blat, muscle, diamond), structural analysis (alphafold, pdb, elm), expression and disease data (archs4, cellxgene, enrichr, opentargets, cosmic, cbio), viral sequences and mouse tissue specificity (virus, 8cube), plus utility modules (mutate, gpt, setup). Common workflows include gene characterization, enrichment analysis, AlphaFold structure retrieval, COSMIC mutation queries, and single-cell expression lookups. For batch BLAST processing use biopython; for multi-database Python pipelines use bioservices.