Retrieve gene metadata from NCBI Gene by symbol or ID with batch lookups.
npx skills add https://github.com/rubensliv/k-dense-ai --skill gene-database-rubensliv
Please help me install this Agent Skill. Skill: gene-database Source: https://github.com/rubensliv/k-dense-ai/tree/main/scientific-skills/gene-database Command: npx skills add https://github.com/rubensliv/k-dense-ai --skill gene-database-rubensliv
Gene data retrieval and annotation across symbols and IDs from NCBI is fragmented and time-consuming, hindering rapid biological insights.
Query a gene by symbol or ID using the provided scripts to retrieve gene summaries and annotations.
High-intent search queries and answers about installing and using this skill.
To retrieve gene metadata and GO annotations from NCBI, query the gene symbol or ID via E-utilities and the Datasets API to fetch comprehensive data including RefSeqs and chromosomal locations. This provides structured summaries suitable for downstream biological analysis workflows.
Yes, you can perform batch lookups for large gene lists across different species using NCBI E-utilities and the Datasets API. The process applies cross-references across species and provides structured outputs with error handling, ensuring robust automation for high-volume biological data retrieval.
The best way to get chromosomal mappings and RefSeqs for multiple genes is using batch lookups via the Datasets API. This method identifies genes by symbol or ID and retrieves comprehensive metadata, enforcing API rate limits while providing structured outputs for analysis pipelines.
An NCBI API key is optional for gene data retrieval, but the system enforces API rate limits during automated queries. Providing an API key increases your request threshold, ensuring robust automation and structured error handling when fetching gene metadata, GO terms, and RefSeqs.
NCBI gene batch lookups return structured outputs with errors to provide robust automation and error handling during data retrieval. This mechanism captures failed queries for specific gene symbols or IDs while continuing to fetch available metadata, GO annotations, and RefSeqs for the remaining list.
Yes, you can use retrieved gene annotations and cross-references directly in downstream analysis pipelines. The structured outputs from E-utilities and the Datasets API are specifically designed for this purpose, delivering formatted gene metadata, GO terms, and chromosomal mappings ready for computational workflows.
AlterLab-IEUSearch NCBI Gene data by symbol or ID and return comprehensive gene information.
LeonChaoXRetrieve NCBI Gene metadata via E-utilities and Datasets API.
RamanEbrahimiAnalyze biological sequences, alignments, phylogenetics, and statistical tests with scikit-bio.
swaruplabQuery and retrieve NCBI Gene data via E-utilities and Datasets API.
