Convert BAM or CRAM inputs into FASTQ outputs for nf-core bamtofastq runs.
npx skills add https://github.com/danilomonge/nf-claw --skill bamtofastq
Please help me install this Agent Skill. Skill: bamtofastq Source: https://github.com/danilomonge/nf-claw/tree/main/pipelines/bamtofastq Command: npx skills add https://github.com/danilomonge/nf-claw --skill bamtofastq
This Skill removes the guesswork from running nf-core bamtofastq by turning a pinned bioinformatics workflow into a validated, reproducible, and agent-friendly execution plan.
Ask the bamtofastq skill to run the pipeline for your samplesheet, output directory, and preferred environment profile.
High-intent search queries and answers about installing and using this skill.
To convert BAM or CRAM files to FASTQ, this Skill executes the nf-core bamtofastq pipeline using a validated samplesheet, output directory, and environment profile to ensure reproducible FASTQ extraction.
Running a pinned nf-core bamtofastq release requires selecting a specific Nextflow engine version and applying release-specific documentation to maintain compatibility and capture provenance during execution.
Yes, you can extract FASTQ reads from BAM inputs by restricting the conversion to specific chromosomes or regions, driven by a validated samplesheet and schema-checked pipeline flags.
The nf-core bamtofastq workflow enforces production guardrails by validating samplesheet structure, required parameters, and allowed values before executing the BAM to FASTQ conversion.
A validated samplesheet is required for Nextflow bioinformatics jobs to enforce correct structure, required parameters, and provenance-aware execution, preventing pipeline failures during BAM to FASTQ conversion.
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