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

0•

데이터 과학 및 ML

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

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.

주요 기능

01Retrieve detailed metadata including RefSeqs, GO annotations, and phenotypes

02Automated batch processing for high-volume gene identifier lookups

030 GitHub stars

04Query genes by symbol, name, or chromosomal location across diverse organisms

05Supports both traditional NCBI E-utilities and the modern Datasets API

06Multiple output formats including JSON, XML, GenBank, and FASTA

사용 사례

01Automating gene annotation and functional analysis for bioinformatics pipelines

02Fetching chromosomal mapping and sequence data for specific genetic variants

03Building cross-referenced gene panels for clinical or laboratory research

주요 기능

01Retrieve detailed metadata including RefSeqs, GO annotations, and phenotypes

02Automated batch processing for high-volume gene identifier lookups

030 GitHub stars

04Query genes by symbol, name, or chromosomal location across diverse organisms

05Supports both traditional NCBI E-utilities and the modern Datasets API

06Multiple output formats including JSON, XML, GenBank, and FASTA

사용 사례

01Automating gene annotation and functional analysis for bioinformatics pipelines

02Fetching chromosomal mapping and sequence data for specific genetic variants

03Building cross-referenced gene panels for clinical or laboratory research