Can I perform batch lookups for multiple genes at once?

Yes, the skill includes a specific batch lookup workflow designed to handle multiple gene symbols or IDs while automatically managing API rate limits.

What is the difference between E-utilities and the Datasets API?

E-utilities is best for complex, cross-database searches, while the NCBI Datasets API is optimized for straightforward gene data and sequence retrieval.

Does this skill require an NCBI API key?

While optional, using a free NCBI API key is highly recommended to increase rate limits from 3 to 10 requests per second for more efficient data retrieval.

Can I search for genes associated with specific diseases?

Absolutely. You can use query patterns that combine gene symbols with phenotype or disease keywords to find relevant genetic associations.

Gene Database Integration

Name: Gene Database Integration
Author: Activer007

byActiver007

数据科学与机器学习

Queries the NCBI Gene database to retrieve comprehensive genetic information, sequences, and functional annotations for biological research.

关于

This skill empowers Claude to interact directly with the NCBI Gene database using both E-utilities and the modern Datasets API. It provides a robust framework for searching genes by symbol, name, or ID, and retrieving detailed metadata such as RefSeqs, chromosomal locations, and Gene Ontology (GO) annotations. Whether performing single lookups or high-throughput batch processing, this skill streamlines the process of gathering biological context, phenotypes, and disease associations, making it an essential tool for bioinformaticians, researchers, and life science developers.

主要功能

Multiple output format support including JSON, XML, and FASTA
High-efficiency batch processing with automated rate limit handling
0 GitHub stars
Detailed metadata retrieval including GO terms, pathways, and RefSeqs
Advanced gene search by symbol, ID, chromosome, or biological context
Dual support for NCBI E-utilities and modern Datasets APIs

使用场景

Building automated pipelines for gene-disease association research
Mapping gene symbols to stable NCBI IDs and reference sequences
Annotating genomic datasets with functional information and phenotypes

关于

主要功能

Multiple output format support including JSON, XML, and FASTA
High-efficiency batch processing with automated rate limit handling
0 GitHub stars
Detailed metadata retrieval including GO terms, pathways, and RefSeqs
Advanced gene search by symbol, ID, chromosome, or biological context
Dual support for NCBI E-utilities and modern Datasets APIs

使用场景

Building automated pipelines for gene-disease association research
Mapping gene symbols to stable NCBI IDs and reference sequences
Annotating genomic datasets with functional information and phenotypes