cutandrun

Run nf-core/cutandrun workflows for CUT&RUN, CUT&Tag, and TIPseq data.

1|Updated Jun 19, 2026
One-click install
npx skills add https://github.com/danilomonge/nf-claw --skill cutandrun
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cutandrun
Source: https://github.com/danilomonge/nf-claw/tree/main/pipelines/cutandrun
Command: npx skills add https://github.com/danilomonge/nf-claw --skill cutandrun

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the guesswork from running nf-core/cutandrun by turning a complex sequencing analysis pipeline into a reproducible, parameter-safe workflow for CUT&RUN, CUT&Tag, and TIPseq data.

Core Features & Use Cases

  • End-to-End Pipeline Execution: Runs the full analysis flow from samplesheet validation through alignment, deduplication, normalization, peak calling, and reporting.
  • Release-Pinned Reproducibility: Supports selecting specific pipeline releases and records provenance so results can be rerun and audited consistently.
  • Bioinformatics Use Cases: Useful for researchers processing protein-DNA interaction assays, generating QC summaries, comparing peak callers, and producing publication-ready outputs.

Quick Start

Ask the assistant to run the cutandrun Skill on your samplesheet and output directory, then choose the appropriate profile and any required pipeline version or reference settings.

Frequently Asked Questions about cutandrun

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run an end-to-end CUT&RUN analysis pipeline from a samplesheet?

CUT&RUN analysis pipelines can be run end-to-end by providing a samplesheet and output directory, then selecting the appropriate profile to execute alignment, deduplication, normalization, peak calling, and reporting automatically.

Can I use the nf-core cutandrun pipeline for CUT&Tag and TIPseq data?

Yes, the nf-core cutandrun pipeline supports CUT&Tag and TIPseq sequencing data alongside CUT&RUN, processing all three assay types through the same validated workflow for alignment, peak calling, and QC.

What's the best way to ensure reproducible peak calling results across CUT&RUN reruns?

Reproducible peak calling results are ensured by release pinning, which locks the pipeline to a specific validated version and records provenance so outputs can be rerun and audited consistently.

Do I need validated pipeline parameters and upstream references to run CUT&RUN workflows?

Yes, validated pipeline parameters and upstream references for outputs, tools, and constraints are required inputs, ensuring the CUT&RUN workflow preserves pinned versions and provenance throughout execution.

How does samplesheet validation work before running CUT&RUN analysis?

Samplesheet validation occurs at the start of the CUT&RUN pipeline to verify input data integrity before proceeding to alignment, deduplication, normalization, and peak calling stages.

What outputs can I expect from a CUT&RUN pipeline run for publication-ready results?

CUT&RUN pipeline runs produce QC summaries, peak calling outputs, normalization data, and publication-ready reports, with provenance tracking for reproducible protein-DNA interaction analysis.