Babysitter fastqc-quality-analyzer
Sequencing quality control skill for assessing read quality, adapter contamination, and sequence composition
install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/bioinformatics/skills/fastqc-quality-analyzer" ~/.claude/skills/a5c-ai-babysitter-fastqc-quality-analyzer && rm -rf "$T"
manifest:
library/specializations/domains/science/bioinformatics/skills/fastqc-quality-analyzer/SKILL.mdsource content
FastQC Quality Analyzer Skill
Purpose
Enable sequencing quality control for assessing read quality, adapter contamination, and sequence composition metrics.
Capabilities
- Per-base quality score analysis
- Sequence duplication detection
- Adapter content identification
- GC content analysis
- Overrepresented sequence detection
- MultiQC report aggregation
Usage Guidelines
- Run FastQC on all raw sequencing data
- Review quality metrics before alignment
- Identify samples requiring additional QC
- Aggregate results with MultiQC for cohort overview
- Flag samples with quality issues
- Document QC decisions and thresholds
Dependencies
- FastQC
- MultiQC
- fastp
Process Integration
- Whole Genome Sequencing Pipeline (wgs-analysis-pipeline)
- RNA-seq Differential Expression Analysis (rnaseq-differential-expression)
- Long-Read Sequencing Analysis (long-read-analysis)
- Analysis Pipeline Validation (pipeline-validation)