bioservices

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Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.

AI & Automation 31,883 stars 3168 forks Updated today MIT

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Skill Content

# BioServices ## Overview BioServices is a Python package providing programmatic access to approximately 40 bioinformatics web services and databases. Retrieve biological data, perform cross-database queries, map identifiers, analyze sequences, and integrate multiple biological resources in Python workflows. The package handles both REST and SOAP/WSDL protocols transparently. **Version note:** Examples target **bioservices 1.16.0** (PyPI, Mar 2026). Requires **Python 3.9–3.12**. UniProt REST changes in mid-2022 (bioservices ≥1.10) mainly affect tabular `columns` names — see upstream `_legacy_names` if parsing breaks. ChEMBL wrappers changed at 1.6.0 (2018 API); use `get_similarity`, `get_substructure`, `get_molecule` instead of pre-1.6 method names. ## When to Use This Skill This skill should be used when: - Retrieving protein sequences, annotations, or structures from UniProt, PDB, Pfam - Analyzing metabolic pathways and gene functions via KEGG or Reactome - Searching compound databases (ChEBI, ChEMBL, PubChem) for chemical information - Converting identifiers between different biological databases (KEGG↔UniProt, compound IDs) - Running sequence similarity searches (BLAST, MUSCLE alignment) - Querying gene ontology terms (QuickGO, GO annotations) - Accessing protein-protein interaction data (PSICQUIC, IntactComplex) - Mining genomic data (BioMart, ArrayExpress, ENA) - Integrating data from multiple bioinformatics resources in a single workflow ## Core Capabilities ###...

Details

Author
K-Dense-AI
Repository
K-Dense-AI/scientific-agent-skills
Created
9 months ago
Last Updated
today
Language
Python
License
MIT

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