fastqrepair

A pipeline that can be used to recover corrupted FASTQ.gz files, drop or fix uncompliant reads, remove unpaired reads, and settles reads that became disordered

https://github.com/nf-core/fastqrepair

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 10 DOI reference(s) in README
  • Academic publication links
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  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.6%) to scientific vocabulary

Keywords

corruption data-cleaning data-recovery fastq fastq-corrupted fastq-format nextflow nf-core pipeline reads-interleaving recovery-tool unpaired-reads well-formed workflow
Last synced: 6 months ago · JSON representation ·

Repository

A pipeline that can be used to recover corrupted FASTQ.gz files, drop or fix uncompliant reads, remove unpaired reads, and settles reads that became disordered

Basic Info
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  • Stars: 5
  • Watchers: 189
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  • Open Issues: 3
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Topics
corruption data-cleaning data-recovery fastq fastq-corrupted fastq-format nextflow nf-core pipeline reads-interleaving recovery-tool unpaired-reads well-formed workflow
Created over 1 year ago · Last pushed 6 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct Citation

README.md

nf-core/fastqrepair

GitHub Actions CI Status GitHub Actions Linting StatusAWS CICite with Zenodo nf-test

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Introduction

nf-core/fastqrepair is a bioinformatics pipeline that can be used to recover corrupted FASTQ.gz files, drop or fix uncompliant reads, remove unpaired reads, and settles reads that became disordered. It takes a samplesheet with FASTQ/FASTQ.gz files as input (both single-end and paired-end) and produces clean FASTQ files and QC reports.

pipeline_diagram

  1. Recover reads from corrupted fastq.gz file (gzrt)
  2. Make recovered reads well-formed (wipertools)
  3. Re-pair reads (bbmap/repair.sh)
  4. Check QC of recovered reads (FastQC)
  5. Aggregate and report QC (MultiQC)

Usage

[!NOTE] If you are new to Nextflow and nf-core, please refer to this page on how to set-up Nextflow. Make sure to test your setup with -profile test before running the workflow on actual data.

First, prepare a samplesheet with your input data that looks as follows:

samplesheet.csv:

csv title="samplesheet.csv" sample,fastq_1,fastq_2 mysampleA,sample_R1.fastq.gz,sample_R2.fastq.gz mysampleB,sample_R3.fq,sample_R4.fq mysampleC,sample_R5.fq.gz

Each row represents a FASTQ file (single-end) or a pair of FASTQ files (paired-end).

[!WARNING] Rows with different file extensions (e.g., mysampleA,sample_R1.fastq.gz,sample_R2.fastq) are not allowed.

Now, you can run the pipeline using:

bash nextflow run nf-core/fastqrepair \ -profile <test/docker/singularity/.../institute> \ --input samplesheet.csv \ --outdir <OUTDIR>

[!WARNING] Please provide pipeline parameters via the CLI or Nextflow -params-file option. Custom config files including those provided by the -c Nextflow option can be used to provide any configuration except for parameters; see docs.

For more details and further functionality, please refer to the usage documentation and the parameter documentation.

Pipeline output

This pipeline produces clean and well-formed FASTQ files together with short textual reports of the cleaning actions.

To see the results of an example test run with a full size dataset refer to the results tab on the nf-core website pipeline page. For more details about the output files and reports, please refer to the output documentation.

Credits

nf-core/fastqrepair was designed and written by Tommaso Mazza.

Contributions and Support

If you would like to contribute to this pipeline, please see the contributing guidelines.

For further information or help, don't hesitate to get in touch on the Slack #fastqrepair channel (you can join with this invite).

Citations

If you use nf-core/fastqrepair for your analysis, please cite it using the following doi: 10.5281/zenodo.14796348

An extensive list of references for the tools used by the pipeline can be found in the CITATIONS.md file.

You can cite the nf-core publication as follows:

The nf-core framework for community-curated bioinformatics pipelines.

Philip Ewels, Alexander Peltzer, Sven Fillinger, Harshil Patel, Johannes Alneberg, Andreas Wilm, Maxime Ulysse Garcia, Paolo Di Tommaso & Sven Nahnsen.

Nat Biotechnol. 2020 Feb 13. doi: 10.1038/s41587-020-0439-x.

Owner

  • Name: nf-core
  • Login: nf-core
  • Kind: organization
  • Email: core@nf-co.re

A community effort to collect a curated set of analysis pipelines built using Nextflow.

Citation (CITATIONS.md)

# nf-core/fastqrepair: Citations

## [nf-core](https://pubmed.ncbi.nlm.nih.gov/32055031/)

> Ewels PA, Peltzer A, Fillinger S, Patel H, Alneberg J, Wilm A, Garcia MU, Di Tommaso P, Nahnsen S. The nf-core framework for community-curated bioinformatics pipelines. Nat Biotechnol. 2020 Mar;38(3):276-278. doi: 10.1038/s41587-020-0439-x. PubMed PMID: 32055031.

## [Nextflow](https://pubmed.ncbi.nlm.nih.gov/28398311/)

> Di Tommaso P, Chatzou M, Floden EW, Barja PP, Palumbo E, Notredame C. Nextflow enables reproducible computational workflows. Nat Biotechnol. 2017 Apr 11;35(4):316-319. doi: 10.1038/nbt.3820. PubMed PMID: 28398311.

## Pipeline tools

- [FastQC](https://www.bioinformatics.babraham.ac.uk/projects/fastqc/)

> Andrews, S. (2010). FastQC: A Quality Control Tool for High Throughput Sequence Data [Online].

- [gzrt](https://www.urbanophile.com/arenn/hacking/gzrt/gzrt.html)

> Renn, A. M. (2013). The gzip Recovery Toolkit [Online].

- [Wipertools](https://github.com/mazzalab/fastqwiper)

> MazzaLab, Tommaso Mazza, & Jose F Oviedo. (2025). mazzalab/fastqwiper: v1.1.5 (v1.1.5). Zenodo. [https://doi.org/10.5281/zenodo.14774039](https://doi.org/10.5281/zenodo.14774039)

- [BBMap](http://sourceforge.net/projects/bbmap/)

> Bushnell B. (2024). BBMap [Online]

- [MultiQC](https://pubmed.ncbi.nlm.nih.gov/27312411/)

> Ewels P, Magnusson M, Lundin S, Käller M. MultiQC: summarize analysis results for multiple tools and samples in a single report. Bioinformatics. 2016 Oct 1;32(19):3047-8. doi: 10.1093/bioinformatics/btw354. Epub 2016 Jun 16. PubMed PMID: 27312411; PubMed Central PMCID: PMC5039924.

## Software packaging/containerisation tools

- [Anaconda](https://anaconda.com)

> Anaconda Software Distribution. Computer software. Vers. 2-2.4.0. Anaconda, Nov. 2016. Web.

- [Bioconda](https://pubmed.ncbi.nlm.nih.gov/29967506/)

> Grüning B, Dale R, Sjödin A, Chapman BA, Rowe J, Tomkins-Tinch CH, Valieris R, Köster J; Bioconda Team. Bioconda: sustainable and comprehensive software distribution for the life sciences. Nat Methods. 2018 Jul;15(7):475-476. doi: 10.1038/s41592-018-0046-7. PubMed PMID: 29967506.

- [BioContainers](https://pubmed.ncbi.nlm.nih.gov/28379341/)

> da Veiga Leprevost F, Grüning B, Aflitos SA, Röst HL, Uszkoreit J, Barsnes H, Vaudel M, Moreno P, Gatto L, Weber J, Bai M, Jimenez RC, Sachsenberg T, Pfeuffer J, Alvarez RV, Griss J, Nesvizhskii AI, Perez-Riverol Y. BioContainers: an open-source and community-driven framework for software standardization. Bioinformatics. 2017 Aug 15;33(16):2580-2582. doi: 10.1093/bioinformatics/btx192. PubMed PMID: 28379341; PubMed Central PMCID: PMC5870671.

- [Docker](https://dl.acm.org/doi/10.5555/2600239.2600241)

> Merkel, D. (2014). Docker: lightweight linux containers for consistent development and deployment. Linux Journal, 2014(239), 2. doi: 10.5555/2600239.2600241.

- [Singularity](https://pubmed.ncbi.nlm.nih.gov/28494014/)

> Kurtzer GM, Sochat V, Bauer MW. Singularity: Scientific containers for mobility of compute. PLoS One. 2017 May 11;12(5):e0177459. doi: 10.1371/journal.pone.0177459. eCollection 2017. PubMed PMID: 28494014; PubMed Central PMCID: PMC5426675.

GitHub Events

Total
  • Create event: 10
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  • Member event: 1
  • Issue comment event: 22
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  • Pull request review comment event: 155
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  • Pull request event: 22
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Last Year
  • Create event: 10
  • Release event: 1
  • Issues event: 15
  • Watch event: 4
  • Delete event: 6
  • Member event: 1
  • Issue comment event: 22
  • Push event: 78
  • Pull request review comment event: 155
  • Pull request review event: 99
  • Pull request event: 22
  • Fork event: 3

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 6
  • Total pull requests: 8
  • Average time to close issues: 3 months
  • Average time to close pull requests: 17 days
  • Total issue authors: 3
  • Total pull request authors: 4
  • Average comments per issue: 0.0
  • Average comments per pull request: 1.88
  • Merged pull requests: 5
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 6
  • Pull requests: 8
  • Average time to close issues: 3 months
  • Average time to close pull requests: 17 days
  • Issue authors: 3
  • Pull request authors: 4
  • Average comments per issue: 0.0
  • Average comments per pull request: 1.88
  • Merged pull requests: 5
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • mazzalab (6)
  • jen-reeve (1)
  • irongraft (1)
Pull Request Authors
  • mazzalab (5)
  • nf-core-bot (4)
  • mirpedrol (2)
  • ShimiraOleg (1)
  • lvclark (1)
Top Labels
Issue Labels
enhancement (5) bug (2) documentation (1)
Pull Request Labels

Dependencies

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