genomics
CommunityGenomics analysis workflows, explained.
Data & Analytics#genomics#differential-expression#pathway-analysis#variant-interpretation#transcriptomics#gene-set-enrichment
Authorjustaddcoffee
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Genomics data analysis decisions can be complex due to multiple data types, evolving best practices, and the need for consistent interpretation across studies.
Core Features & Use Cases
- Best-practice workflows for differential expression analysis, gene set enrichment, and interpretation of genetic variants.
- Guidance on data types (bulk RNA-seq, microarray, single-cell) and matching analytical strategies.
- Examples illustrating end-to-end workflows, interpretation steps, and result reporting to support reproducible analyses.
Quick Start
Use the genomics skill to structure your analysis plan for RNA-seq differential expression discovery.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: genomics Download link: https://github.com/justaddcoffee/open-science-skills/archive/main.zip#genomics Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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