Can I retrieve sequence data like FASTA or GenBank?

Yes, the skill supports fetching various data formats including FASTA for sequences and GenBank for detailed annotations.

Does this skill require an NCBI API key?

While optional, using a free NCBI API key increases your rate limit from 3 to 10 requests per second, which is recommended for batch processing.

Can I search for genes across different species?

Yes, the skill allows you to specify organisms (e.g., 'human' or 'Mus musculus') to ensure precise results across different species.

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

E-utilities is best for complex queries across multiple Entrez databases, while the Datasets API is optimized specifically for streamlined gene data and sequence retrieval.

NCBI Gene Database Integration

Name: NCBI 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.

关于

This skill empowers researchers and developers to interact programmatically with the NCBI Gene database using both E-utilities and the newer Datasets API. It streamlines the process of searching for genes by symbol or ID, retrieving high-quality metadata like RefSeqs and Gene Ontology (GO) terms, and performing high-volume batch lookups for genomic analysis. It is particularly useful for bioinformatics workflows, gene annotation tasks, and clinical research where accurate, real-time genetic data from global genomic resources is essential.

主要功能

Retrieve detailed metadata including RefSeqs, GO annotations, and phenotypes
Automated batch processing for high-volume gene identifier lookups
0 GitHub stars
Query genes by symbol, name, or chromosomal location across diverse organisms
Supports both traditional NCBI E-utilities and the modern Datasets API
Multiple output formats including JSON, XML, GenBank, and FASTA

使用场景

Automating gene annotation and functional analysis for bioinformatics pipelines
Fetching chromosomal mapping and sequence data for specific genetic variants
Building cross-referenced gene panels for clinical or laboratory research

关于

主要功能

Retrieve detailed metadata including RefSeqs, GO annotations, and phenotypes
Automated batch processing for high-volume gene identifier lookups
0 GitHub stars
Query genes by symbol, name, or chromosomal location across diverse organisms
Supports both traditional NCBI E-utilities and the modern Datasets API
Multiple output formats including JSON, XML, GenBank, and FASTA

使用场景

Automating gene annotation and functional analysis for bioinformatics pipelines
Fetching chromosomal mapping and sequence data for specific genetic variants
Building cross-referenced gene panels for clinical or laboratory research