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ngs-bcl-to-fastq

Validate Illumina BCL run folders and sample sheets, plan demultiplexing, review index/UMI/lane choices, run BCL-to-FASTQ conversion, and interpret demux metrics while surfacing license/download boundaries.

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Repository
openai/plugins
Letzte Quellaktivität
3. Juni 2026 um 15:08
Erkannte Sprache von SKILL.md
Englisch
Sterne
7.200
Forks
930

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
ngs-bcl-to-fastq
description
Validate Illumina BCL run folders and sample sheets, plan demultiplexing, review index/UMI/lane choices, run BCL-to-FASTQ conversion, and interpret demux metrics while surfacing license/download boundaries.
# BCL To FASTQ Use this skill when the input is an Illumina BCL run folder or the user asks to demultiplex a sequencing run. This is a deep demultiplexing and run-validation skill, not only a command wrapper. ## Essential Inputs Confirm: - run folder path with `RunInfo.xml` - sample sheet path and format - output directory - instrument/run metadata from `RunInfo.xml` and `RunParameters.xml` - lane handling: split by lane or combine lanes - index mismatch tolerance - index read structure and dual-index orientation - UMI layout, if any - whether adapter trimming/masking should happen during conversion - whether undetermined reads and demultiplexing metrics should be reviewed before downstream analysis ## Public Tool Boundary Prefer `bcl-convert` if it is already installed. It is free for local use but proprietary and RPM-distributed by Illumina, so do not auto-download without explicit user approval. Legacy `bcl2fastq` may exist in older environments. Use it only when BCL Convert is unavailable or the run requires legacy compatibility. ## Preflight ```bash python plugins/ngs-analysis/scripts/ngs_preflight.py --pipeline bcl_to_fastq --emit-install-plan ``` Also check run-folder structure: ```bash test -f /path/to/run/RunInfo.xml test -f /path/to/SampleSheet.csv find /path/to/run -maxdepth 4 -type d -name BaseCalls ``` ## Local Execution Package Use the plugin-owned runner when the user provides a local run folder and sample sheet: ```bash python plugins/ngs-analysis/scripts/run_bcl_to_fastq.py \ --run-folder /path/to/run \ --sample-sheet /path/to/SampleSheet.csv \ --output-directory /path/to/fastq_out ``` Add `--execute` only when conversion is requested. The runner validates `RunInfo.xml`, optional `RunParameters.xml`, the BaseCalls directory, sample-sheet rows, duplicate lane/index combinations, and index length compatibility. With `--execute`, it uses installed `bcl-convert`, then legacy `bcl2fastq` if available; if neither exists, it records the blocker instead of downloading proprietary software. ## Validation Checklist Before conversion, validate: - `RunInfo.xml` exists and its read structure matches the expected sequencing design. - `SampleSheet.csv` exists, is the intended version, and has no duplicate sample/index combinations within each lane. - Index sequence lengths match the index reads and any trimming/masking requested by the sample sheet. - Dual-index orientation is explicit for the instrument and library prep; do not infer i5 orientation from filenames. - UMI bases are assigned to the intended read or index read and carried through to FASTQ headers or output metadata as needed. - Lane-splitting, sample-name normalization, and output directory behavior are agreed before running. - Disk space is sufficient for output FASTQs, reports, and temporary files. ## Kickoff Pattern First produce a preflight plan with paths and sample sheet validation. Then run conversion only after the user confirms: ```bash bcl-convert \ --bcl-input-directory /path/to/run \ --output-directory /path/to/fastq_out \ --sample-sheet /path/to/SampleSheet.csv ``` ## Metrics Review After conversion, inspect and report: - total clusters, clusters passing filter, and yield by lane - percent assigned by sample and percent undetermined by lane - top undetermined index sequences when available - per-sample FASTQ counts and read-pair consistency - unexpected index hopping, barcode collision, or sample-sheet mismatch signals Record software version, command, sample sheet checksum, run-folder path, output path, and conversion metrics. Do not start downstream analysis until severe demultiplexing anomalies are surfaced.
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