gene-database
Query NCBI Gene via E-utilities/Datasets API. Search by symbol/ID, retrieve gene info (RefSeqs, GO, locations, phenotypes), batch lookups, for gene annotation and functional analysis.
Content Preview
---
name: gene-database
description: Query NCBI Gene via E-utilities/Datasets API. Search by symbol/ID, retrieve gene info (RefSeqs, GO, locations, phenotypes), batch lookups, for gene annotation and functional analysis.
license: Unknown
metadata:
skill-author: K-Dense Inc.
---
# Gene Database
## Overview
NCBI Gene is a comprehensive database integrating gene information from diverse species. It provides nomenclature, reference sequences (RefSeqs), chromosomal maps, biological pathways, gHow to Use
Recommended: Install to project (local)
mkdir -p .claude/skills
curl -o .claude/skills/gene-database.md \
https://raw.githubusercontent.com/K-Dense-AI/claude-scientific-skills/main/scientific-skills/gene-database/SKILL.mdSkill is scoped to this project only. Add .claude/skills/ to your .gitignoreif you don't want to commit it.
Alternative: Clone full repo
git clone https://github.com/K-Dense-AI/claude-scientific-skillsThen reference at scientific-skills/gene-database/SKILL.md
Related Skills
scanpy
Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis.
data-aiscanpy
by sickn33 (Antigravity) · antigravity-awesome-skills
cs-demand-gen-specialist
Demand generation and customer acquisition specialist for lead generation, conversion optimization, and multi-channel acquisition campaigns
agentsdemandgenspecialist
by alirezarezvani · alirezarezvani-claude-skills
database-documentation-gen
Process use when you need to work with database documentation.
database-documentation-gendatabasedocumentationgen
by jeremylongshore · plugins-plus-skills
arboreto
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
arboretoarboreto
by K-Dense-AI · claude-scientific-skills