dunnlab-bioinformatics
CommunityStandardize Dunn Lab bioinformatics workflows.
Data & Analytics#workflow#bioinformatics#pipelines#naming-conventions#reproducibility#phylogenetics#data-validation
Authorcaseywdunn
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Bioinformatics projects in the Dunn Lab often struggle with inconsistent data handling and non-reproducible analyses. This skill defines a standardized framework for structuring projects, enforcing data hygiene, and applying consistent naming conventions across pipelines.
Core Features & Use Cases
- Data hygiene and immutable raw data handling under data/raw/ and data/processed/ to ensure traceability.
- Naming conventions and global gene ID strategies for multi-species analyses, enabling cross-species data integration.
- Project scaffolding, defaults, and tool integration (MAFFT, IQ-TREE, DIAMOND, Eggnog-mapper, PROST) to enable end-to-end pipelines.
Quick Start
Initialize a new Dunn Lab bioinformatics project using the standard data layout, validation rules, and naming conventions described here.
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: dunnlab-bioinformatics Download link: https://github.com/caseywdunn/dunnlab_code/archive/main.zip#dunnlab-bioinformatics Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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