fastqc

name	fastqc
description	Use when you need to perform quality control analysis on high-throughput sequencing data (fastq, bam, sam, or fast5 files) to identify potential problems before downstream analysis.
disable-model-invocation	true
user-invocable	true

fastqc

Quick Start

• Command: fastqc [options] seqfile1 seqfile2 .. seqfileN
• Local executable: /home/vimalinx/miniforge3/envs/bio/bin/fastqc
• Version: 0.12.1
• Full reference: See references/help.md

When To Use This Tool

• Inspect raw or cleaned sequencing reads before downstream analysis.
• Generate per-sample QC reports for FASTQ, BAM, SAM, or FAST5 inputs.
• Use it before trimming and again after trimming if you want a before/after QC comparison.
• Pair it with multiqc when handling many samples.

Common Patterns

# 1) QC two FASTQ files
fastqc -o fastqc_out sample_R1.fastq.gz sample_R2.fastq.gz

# 2) Run several files with multiple threads
fastqc -t 8 -o fastqc_out *.fastq.gz

# 3) Keep only zipped output package
fastqc --noextract -o fastqc_out sample.fastq.gz

Recommended Workflow

1. Run FastQC on representative raw reads before trimming.
2. Inspect the HTML report for adapter content, per-base quality, sequence duplication, and overrepresented sequences.
3. If trimming or filtering is applied, rerun FastQC on cleaned reads.
4. Aggregate all sample reports with multiqc for cohort-level review.

Guardrails

• The output directory must already exist; FastQC does not create it for you.
• Each thread needs roughly a few hundred MB of RAM; oversubscribing threads is counterproductive.
• --nogroup can produce huge plots and unstable behavior on long reads.
• A warning flag in FastQC is not automatically a fatal problem; interpret modules in context of assay type and library prep.