Does this skill support BLAST searches?

Yes, it includes capabilities to run asynchronous BLAST jobs on NCBI, monitor their status, and retrieve the resulting sequence alignments.

What is the BioServices skill for Claude?

It is a specialized extension that enables Claude to interact with over 40 bioinformatics web services using a unified Python framework for biological data retrieval.

Which biological databases are supported?

The skill supports major resources including UniProt, KEGG, ChEMBL, PubChem, Reactome, QuickGO, and many protein-protein interaction databases via PSICQUIC.

Can I use this skill for identifier mapping?

Yes, it is specifically designed for mapping IDs across different databases, such as converting UniProt accession numbers to KEGG gene IDs or Ensembl identifiers.

What libraries are required to use this skill?

The skill primarily utilizes the 'bioservices' Python package, which can be installed via pip and handles the underlying REST and SOAP requests.

Bioinformatics BioServices

Name: Bioinformatics BioServices
Author: pur3v4d3r

bypur3v4d3r

•

Data Science & ML

Streamlines access to over 40 bioinformatics web services for integrated biological data retrieval and analysis.

About

BioServices is a specialized Claude Code skill that provides a unified programmatic interface to major biological databases including UniProt, KEGG, ChEMBL, and PubChem. It enables researchers and developers to automate complex bioinformatics workflows such as sequence retrieval, pathway mapping, and identifier conversion across disparate resources. By abstracting the complexities of REST and SOAP protocols, this skill allows for seamless integration of biological data into Python-based data science pipelines and discovery tools.

Key Features

Comprehensive pathway discovery and protein interaction network extraction
1 GitHub stars
Direct integration with Gene Ontology (GO) and chemical compound databases
Unified API access to 40+ major bioinformatics services and databases
Programmatic protein sequence retrieval and BLAST similarity search management
Automated identifier mapping between UniProt, KEGG, Ensembl, and others

Use Cases

Automating multi-step protein characterization and functional annotation pipelines
Extracting and analyzing metabolic pathway interactions for network modeling
Cross-referencing chemical compounds across KEGG, ChEBI, and ChEMBL databases

About

Key Features

Comprehensive pathway discovery and protein interaction network extraction
1 GitHub stars
Direct integration with Gene Ontology (GO) and chemical compound databases
Unified API access to 40+ major bioinformatics services and databases
Programmatic protein sequence retrieval and BLAST similarity search management
Automated identifier mapping between UniProt, KEGG, Ensembl, and others

Use Cases

Automating multi-step protein characterization and functional annotation pipelines
Extracting and analyzing metabolic pathway interactions for network modeling
Cross-referencing chemical compounds across KEGG, ChEBI, and ChEMBL databases