What data formats can I retrieve using this skill?

The skill supports various formats including JSON for programmatic use, XML for detailed metadata, and FASTA or GenBank for sequence-related tasks.

Does this skill require an NCBI API key?

While not strictly required, registering for a free NCBI API key is recommended as it increases the rate limit from 3-5 requests per second to 10 requests per second.

What organisms are supported by the Gene Database skill?

It supports all organisms cataloged in the NCBI Gene database, including humans, mice, zebrafish, and other model organisms.

Can I perform batch lookups for multiple genes at once?

Yes, the skill includes a dedicated batch lookup script designed to process lists of gene symbols or IDs efficiently while managing API limits.

NCBI Gene Database Integration

Name: NCBI Gene Database Integration
Author: Microck

byMicrock

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Data Science & ML

Queries the NCBI Gene database to retrieve comprehensive genetic information, metadata, and sequences for annotation and functional analysis.

About

This skill empowers Claude to interact directly with the NCBI Gene database via E-utilities and the Datasets API, providing a streamlined interface for genomic research and bioinformatics. It enables users to search for genes by symbol or ID, retrieve detailed biological metadata including Gene Ontology (GO) terms and phenotypes, and fetch reference sequences (RefSeqs). Designed for both individual queries and high-throughput batch lookups, the skill handles complex API interactions, rate limiting, and multi-format data parsing, making it an essential tool for developers and scientists working on gene annotation, pathway analysis, or genomic data processing.

Key Features

Comprehensive metadata retrieval including chromosomal maps and GO annotations
Automated batch processing for large gene lists with rate limit management
Pre-configured scripts for rapid gene search, data fetching, and batch lookups
Dual API support for NCBI E-utilities and the newer NCBI Datasets API
Support for multiple output formats including JSON, XML, GenBank, and FASTA
81 GitHub stars

Use Cases

Automated annotation of genomic datasets with official nomenclature and identifiers
Batch cross-referencing of gene lists for functional enrichment and pathway analysis
Retrieving reference sequences (RefSeqs) for specific gene panels in research workflows

About

Key Features

Comprehensive metadata retrieval including chromosomal maps and GO annotations
Automated batch processing for large gene lists with rate limit management
Pre-configured scripts for rapid gene search, data fetching, and batch lookups
Dual API support for NCBI E-utilities and the newer NCBI Datasets API
Support for multiple output formats including JSON, XML, GenBank, and FASTA
81 GitHub stars

Use Cases

Automated annotation of genomic datasets with official nomenclature and identifiers
Batch cross-referencing of gene lists for functional enrichment and pathway analysis
Retrieving reference sequences (RefSeqs) for specific gene panels in research workflows