Which biological databases can I access with this skill?

You can access over 40 services, including major databases like UniProt, KEGG, ChEMBL, PubChem, PDB, Reactome, and QuickGO.

Can I perform sequence analysis like BLAST?

Absolutely. BioServices includes specialized modules for running BLAST searches and other sequence alignments through NCBI and EBI services directly from your Python environment.

How does BioServices handle different API protocols?

It transparently handles both REST and SOAP/WSDL protocols, providing a consistent Pythonic interface regardless of the underlying service architecture.

Does this skill support identifier mapping?

Yes, it provides robust tools for converting identifiers between different biological databases, such as mapping KEGG gene IDs to UniProt accessions or compound IDs across chemical databases.

BioServices Bioinformatics Integration

Name: BioServices Bioinformatics Integration
Author: Activer007

byActiver007

Data Science & ML

Accesses over 40 major bioinformatics web services and databases through a unified Python interface for seamless biological data retrieval and analysis.

About

BioServices is a comprehensive Python toolkit that simplifies programmatic access to a vast ecosystem of biological databases, including UniProt, KEGG, and ChEMBL. It abstracts the complexity of disparate REST and SOAP protocols into a standardized API, allowing developers and researchers to retrieve protein sequences, map identifiers across multiple databases, and discover metabolic pathways with minimal code. This skill is indispensable for building automated bioinformatics workflows, conducting sequence analysis, and integrating multi-database biological datasets within the Claude environment.

Key Features

Advanced protein sequence analysis and functional annotation retrieval
Chemical compound search and cross-referencing capabilities
Unified programmatic access to 40+ bioinformatics web services
0 GitHub stars
Metabolic pathway discovery and protein-protein interaction mapping
Automated identifier mapping across disparate biological resources

Use Cases

Building automated pipelines for protein characterization and sequence alignment
Cross-referencing gene, protein, and compound identifiers across different databases
Extracting interaction networks and metabolic pathways for systems biology research

About

Key Features

Advanced protein sequence analysis and functional annotation retrieval
Chemical compound search and cross-referencing capabilities
Unified programmatic access to 40+ bioinformatics web services
0 GitHub stars
Metabolic pathway discovery and protein-protein interaction mapping
Automated identifier mapping across disparate biological resources

Use Cases

Building automated pipelines for protein characterization and sequence alignment
Cross-referencing gene, protein, and compound identifiers across different databases
Extracting interaction networks and metabolic pathways for systems biology research