hic
CommunityRun Hi-C analysis with validated inputs
Data & Analytics#provenance#bioinformatics#genomics#nf-core#hic#chromosome conformation#contact maps
Authordanilomonge
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines Hi-C sequencing analysis by turning raw chromosome conformation capture data into standardized, reproducible outputs without requiring users to memorize pipeline flags.
Core Features & Use Cases
- End-to-End Hi-C Processing: Runs the nf-core/hic pipeline for alignment, valid pair detection, contact map generation, and downstream analysis.
- Protocol Flexibility: Supports common Hi-C variants such as restriction-enzyme digestion and DNase Hi-C, along with optional skipping of map, TAD, compartment, and MultiQC steps.
- Reproducible Execution: Uses a validated samplesheet and parameter schema, records provenance, and preserves versioned outputs for reliable re-runs and handoffs.
- Use Case: A bioinformatics analyst can point the Skill at a samplesheet, choose the reference genome or custom indices, and produce a complete Hi-C results directory for review.
Quick Start
Use the hic skill to analyze your Hi-C samplesheet and save the validated results into the output directory you specify.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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: hic Download link: https://github.com/danilomonge/nf-claw/archive/main.zip#hic Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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