bio-read-qc-quality-reports
Generate and interpret quality reports from FASTQ files using FastQC and MultiQC. Assess per-base quality, adapter content, GC bias, duplication levels, and overrepresented sequences. Use when performing initial QC on raw sequencing data or validating preprocessing results.
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-read-qc-quality-reports --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Version Compatibility Reference examples tested with: pandas 2.2+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures - CLI: `<tool> --version` then `<tool> --help` to confirm flags If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Quality Reports Generate quality reports for FASTQ files using FastQC and aggregate multiple reports with MultiQC. **"Run quality control on FASTQ files"** → Generate per-base quality, adapter content, and duplication plots, then aggregate across samples. - CLI: `fastqc *.fastq.gz` then `multiqc .` ## FastQC - Single Sample Reports ### Basic Usage ```bash # Single file fastqc sample.fastq.gz # Multiple files fastqc *.fastq.gz # Specify output directory fastqc -o qc_reports/ sample_R1.fastq.gz sample_R2.fastq.gz # Set threads fastqc -t 4 *.fastq.gz ``` ### Output Files FastQC produces two files per input: - `sample_fastqc.html` - Interactive HTML report - `sample_fastqc.zip` - Data files and images ### Key Modules | Module | What It Sho
- Version Compatibility
- FastQC - Single Sample Reports
- Basic Usage
- Output Files
- Key Modules
- Extract Data from ZIP
- MultiQC - Aggregate Reports
- Common Options
- Extract Data Programmatically
- Batch Processing
- Process Multiple Samples
- Before and After Trimming
- Interpretation Guide
- Quality Scores
Single file fastqc sample.fastq.gz Multiple files fastqc *.fastq.gz Specify output directory fastqc -o qc_reports/ sample_R1.fastq.gz sample_R2.fastq.gz Set threads fastqc -t 4 *.fastq.gz Unzip to access raw data unzip sample_fastqc.zip
What does the bio-read-qc-quality-reports skill do?
Generate and interpret quality reports from FASTQ files using FastQC and MultiQC. Assess per-base quality, adapter content, GC bias, duplication levels, and overrepresented sequences. Use when performing initial QC on raw sequencing data or validating preprocessing results.
How do I install it?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-read-qc-quality-reports --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.