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Rnaseq qc

Skill Wang-Cankun/skillshelf/fixtures/library/rnaseq-qc

A package manager for your agent skills — one canonical library, loaded on demand, never all at once.

Install
npx -y skills add Wang-Cankun/skillshelf --skill rnaseq-qc

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

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Run quality control on bulk RNA-seq data — adapter trimming, FastQC, alignment-rate checks, and a per-sample QC summary table. Use when the user has raw FASTQ files and needs a QC pass before differential expression.

SKILL.md

0.6 KB, as published. Nobody here has run it

RNA-seq QC

Quality-control workflow for bulk RNA-seq before differential expression.

Steps

  1. Run fastqc on every FASTQ file.
  2. Trim adapters with fastp.
  3. Align and capture the alignment rate per sample.
  4. Emit a per-sample QC summary table; flag samples below 70% alignment.

See reference/thresholds.md for the exact cutoffs.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.