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bioservices

Retrieve and analyze biological data from over 40 bioinformatics web services.

Updated May 8, 2026
Search Tags:#bioinformatics#pathway analysis#sequence analysis#data retrieval#database integration
One-click install
npx skills add https://github.com/Zeyuyang-0420/bio-ai-research-skills --skill bioservices-zeyuyang-0420
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bioservices
Source: https://github.com/Zeyuyang-0420/bio-ai-research-skills/tree/main/categories/bioinformatics-genomics/bioservices
Command: npx skills add https://github.com/Zeyuyang-0420/bio-ai-research-skills --skill bioservices-zeyuyang-0420

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires bioservices, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides comprehensive bioinformatics analysis capabilities, solving the problem of manually retrieving and analyzing data from various biological databases and services.

Core Features & Use Cases

  • Database Access: Access over 40 bioinformatics web services, including UniProt, KEGG, ChEMBL, and Reactome.
  • Data Retrieval: Retrieve biological data, perform cross-database queries, map identifiers, and analyze sequences.
  • Use Case: Suppose you have protein sequences from a new study. Use this Skill to map those sequences to their UniProt entries, extract pathway information from KEGG, and map protein interactions from IntActComplex.

Quick Start

Run the bioservices skill with the UniProt search for the protein of interest: 'ZAP70_HUMAN'

Frequently Asked Questions about bioservices

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retrieve protein sequences and pathway data from UniProt and KEGG?▼

Bioinformatics data retrieval from UniProt and KEGG is performed by querying 40+ integrated web services. You can extract protein sequences, map identifiers, and analyze pathway networks directly through the supported APIs.

What's the best way to perform cross-database queries for biological research?▼

Cross-database querying for biological research is best handled through unified web service integrations. The system maps identifiers across 40+ databases like ChEMBL and Reactome to consolidate protein, pathway, and compound data.

Can I map protein interactions and extract pathway information using Python?▼

Mapping protein interactions and extracting pathway information using Python is fully supported. The system leverages Python libraries and APIs like IntActComplex to retrieve and integrate biological network data for analysis.

Do I need bioinformatics web service APIs to perform sequence analysis?▼

Bioinformatics web service APIs and Python libraries are required to perform sequence analysis. The Skill relies on these external dependencies to process biological data, execute queries, and handle data integration tasks.

Does this approach support compound database integration and data retrieval?▼

Compound database integration and data retrieval are supported through connections to services like ChEMBL. You can retrieve compound data, perform sequence analysis, and map identifiers across various biological databases.

Why use Python for pathway network analysis instead of manual database searches?▼

Using Python for pathway network analysis automates manual database searches across 40+ services. It enables efficient cross-database querying, identifier mapping, and data integration, reducing manual retrieval errors in biological research.

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