What problem does it solve?
This Skill removes the friction of running large nf-core bioinformatics workflows by guiding you from data acquisition through environment validation, pipeline selection, configuration, and output verification.
Core Features & Use Cases
- Runs nf-core pipelines via Nextflow: Executes RNA-seq (rnaseq), WGS/WES (sarek), and ATAC-seq (atacseq) with version-pinned commands.
- Handles both local files and public GEO/SRA datasets: Supports fetching GEO/SRA reads, generating samplesheets, and re-running with resume when needed.
- Reduces setup failures with guardrails: Performs a pre-flight environment check (Docker/Nextflow/Java) and enforces a test profile run before full execution.
- Produces user-ready outputs and verification steps: Points you to key result artifacts (e.g., MultiQC reports, gene counts/TPM tables, VCFs, peaks/BigWig).
Quick Start
Tell the AI to help you run the RNA-seq pipeline for your study by using your GEO accession to fetch data, generate the samplesheet, run the environment check, execute a test profile, then run nf-core/rnaseq with the correct genome and your confirmed settings.