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Scientific-ToolingScientific-Tooling/structured-intelligence/skills/ngs-read-preprocessing/SKILL.md

ngs-read-preprocessing

Skill4 starsChanged 12 days agoMITView on GitHub

Adapter trimming, quality filtering, and per-sample QC reporting with fastp.

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  1. Distinctive:

    Run fastp with adapter auto-detection (or user-specified adapter sequences if provided).

    line 35

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Files
SKILL.md

Skill: ngs-read-preprocessing

Use When

  • The user wants to trim adapters from raw sequencing reads.
  • The user needs to filter low-quality reads or bases before downstream alignment.
  • The user wants to generate clean FASTQ files suitable for alignment or assembly.
  • The user needs a per-sample HTML QC report showing before/after statistics.
  • The user wants to perform polyG or polyX tail trimming for NextSeq/NovaSeq platforms.
  • The user needs to apply minimum read length filtering after trimming.

Inputs

  • Required:
    • Input FASTQ R1 (-i FILE) — single-end read file or forward reads for paired-end.
  • Optional:
    • Input FASTQ R2 (-I FILE) — reverse reads for paired-end sequencing.
    • --outdir DIR — Output directory (default: fastp_results).
    • --threads N — Number of worker threads (default: 4).
    • --min-qual N — Minimum qualified quality phred value for sliding window filtering (default: 15).
    • --min-len N — Minimum read length after trimming (default: 36 bp).
    • --polyg — Enable polyG tail trimming (recommended for NextSeq/NovaSeq two-color chemistry).
    • Adapter sequences — auto-detected by default; user may supply explicit sequences via additional fastp flags.
    • Additional fastp flags passed through as extra arguments.

Workflow

  1. Validate that input FASTQ files exist and are readable.
  2. Detect single-end vs. paired-end mode from the provided inputs (-i only vs. -i and -I).
  3. Run fastp with adapter auto-detection (or user-specified adapter sequences if provided).
  4. Apply quality filtering using a sliding window approach (default: Q15 qualified quality threshold).
  5. Apply length filtering to discard reads shorter than the minimum length (default: 36 bp).
  6. Enable polyG tail trimming for NextSeq/NovaSeq platforms if --polyg is specified.
  7. Generate an HTML report and JSON statistics file with detailed before/after metrics.
  8. Report summary: reads before/after filtering, bases before/after, Q20/Q30 rates, and adapter trimming rate.

Output Contract

  • Cleaned FASTQ file(s) — Trimmed and filtered reads (<sample>_trimmed.fastq.gz; R1 and R2 for paired-end).
  • fastp HTML report — Per-sample visual QC summary (<sample>_fastp.html).
  • fastp JSON report — Machine-readable statistics (<sample>_fastp.json).
  • Summary statistics — Reads in/out, bases in/out, Q20/Q30 rates before and after filtering, adapter detection/trimming rate.

Limits

  • fastp must be installed and available on $PATH.
  • fastp is single-threaded by default; use -w / --threads to enable multi-threading (up to 16 threads).
  • This skill does not perform read alignment; use genome-read-alignment or rnaseq-read-alignment for that purpose.
  • This skill does not aggregate QC across multiple samples; use ngs-quality-control for multi-sample QC aggregation with MultiQC.
  • UMI processing is supported by fastp but is not enabled by default; pass --umi and related flags as extra arguments if needed.
  • Interleaved FASTQ input is not supported by the wrapper script; use fastp directly for interleaved input.
  • Common failure cases:
    • Paired-end FASTQ files with mismatched read counts causing fastp to abort.
    • Incorrect adapter sequences provided, leading to untrimmed reads.
    • Disk full during output writing, producing truncated FASTQ files.

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