Which biological databases are supported?

It supports over 40 services, including major repositories like UniProt, KEGG, ChEMBL, PubChem, Reactome, QuickGO, and NCBI BLAST.

How does it handle different bioinformatics data formats?

The skill facilitates the parsing of various formats including XML, JSON, TSV, and FASTA, often integrating seamlessly with tools like Pandas and BioPython.

What is the BioServices Claude Code Skill?

It is a specialized capability that allows Claude to programmatically interact with dozens of bioinformatics databases and web services using the BioServices Python library.

Can this skill help with identifier mapping?

Yes, it is highly effective at converting biological identifiers between databases, such as mapping UniProt accessions to KEGG, Ensembl, or PDB IDs.

Does it support sequence analysis tasks?

Absolutely. It can trigger asynchronous BLAST searches, perform sequence alignments, and retrieve FASTA sequences for further analysis.

BioServices Bioinformatics Toolkit

Name: BioServices Bioinformatics Toolkit
Author: Microck

byMicrock

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数据科学与机器学习

Provides programmatic Python access to over 40 bioinformatics web services and databases for integrated biological data analysis.

关于

BioServices is a comprehensive Python package designed to streamline workflows across multiple biological databases including UniProt, KEGG, ChEMBL, and PubChem. It enables researchers and developers to perform complex tasks such as protein sequence retrieval, metabolic pathway analysis, chemical compound searching, and cross-database identifier mapping through a unified API. By abstracting complex REST and SOAP protocols, it serves as a powerful bridge for integrating diverse bioinformatics resources into automated data science and discovery pipelines within the Claude Code environment.

主要功能

Metabolic pathway discovery and network extraction
Integrated BLAST and sequence similarity search tools
Protein sequence retrieval and functional annotation
89 GitHub stars
Unified API for 40+ bioinformatics services
Cross-database identifier mapping (e.g., KEGG to UniProt)

使用场景

Building integrated drug-discovery pipelines by cross-referencing chemical compounds with biological pathways
Mapping biological identifiers across diverse genomic and proteomic databases for data normalization
Automated retrieval of protein structures and annotations for large-scale batch analysis

关于

主要功能

Metabolic pathway discovery and network extraction
Integrated BLAST and sequence similarity search tools
Protein sequence retrieval and functional annotation
89 GitHub stars
Unified API for 40+ bioinformatics services
Cross-database identifier mapping (e.g., KEGG to UniProt)

使用场景

Building integrated drug-discovery pipelines by cross-referencing chemical compounds with biological pathways
Mapping biological identifiers across diverse genomic and proteomic databases for data normalization
Automated retrieval of protein structures and annotations for large-scale batch analysis