What kind of data can I retrieve?

You can retrieve gene nomenclature, reference sequences (RefSeqs), chromosomal maps, biological pathways, phenotypes, and GO annotations.

What APIs does this skill use to fetch data?

The skill utilizes both NCBI E-utilities for complex cross-database searches and the NCBI Datasets API for optimized, modern gene data retrieval.

Can I perform batch lookups for multiple genes at once?

Yes, the skill includes a dedicated batch lookup script that handles multiple gene symbols or IDs efficiently while managing API rate limits.

Is an NCBI API key required for this skill?

While it works without one, registering for a free NCBI API key is highly recommended to increase your rate limits from 3 to 10 requests per second.

NCBI Gene Database Skill

Name: NCBI Gene Database Skill
Author: Microck

byMicrock

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Data Science & ML

Queries NCBI Gene databases to retrieve comprehensive genomic data, including sequences, annotations, and functional pathways.

About

The Gene Database skill integrates Claude with the NCBI Gene repository, providing a streamlined interface for bioinformatics research and genomic data analysis. It allows users to search by gene symbols or IDs, perform batch lookups, and retrieve detailed metadata such as chromosomal locations, RefSeqs, and Gene Ontology (GO) annotations. By supporting both the traditional E-utilities and the modern NCBI Datasets API, this skill simplifies the process of fetching biological context, identifying gene-disease associations, and building annotation tables directly within your development workflow.

Key Features

Retrieve detailed metadata including RefSeqs and GO annotations
Efficient batch processing for large gene sets with automated rate limiting
Support for both E-utilities and modern NCBI Datasets APIs
81 GitHub stars
Flexible output formats including JSON, XML, GenBank, and FASTA
Query NCBI Gene by symbol, ID, or biological context

Use Cases

Searching for gene associations with specific phenotypes or biological pathways
Annotating gene lists for bioinformatics research and functional analysis
Fetching chromosomal mapping and sequence data for genetic software development

About

Key Features

Retrieve detailed metadata including RefSeqs and GO annotations
Efficient batch processing for large gene sets with automated rate limiting
Support for both E-utilities and modern NCBI Datasets APIs
81 GitHub stars
Flexible output formats including JSON, XML, GenBank, and FASTA
Query NCBI Gene by symbol, ID, or biological context

Use Cases

Searching for gene associations with specific phenotypes or biological pathways
Annotating gene lists for bioinformatics research and functional analysis
Fetching chromosomal mapping and sequence data for genetic software development