references

nf-core/references is a bioinformatics pipeline that build references, for multiple use cases

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

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
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.3%) to scientific vocabulary

Keywords

genome nextflow nf-core pipeline references reproducibility reproducible-research reproducible-science workflow
Last synced: 6 months ago · JSON representation ·

Repository

nf-core/references is a bioinformatics pipeline that build references, for multiple use cases

Basic Info
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  • Stars: 18
  • Watchers: 190
  • Forks: 5
  • Open Issues: 25
  • Releases: 1
Topics
genome nextflow nf-core pipeline references reproducibility reproducible-research reproducible-science workflow
Created about 2 years ago · Last pushed 6 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct Citation Codeowners

README.md

nf-core/references

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

Nextflow run with conda run with docker run with singularity Launch on Seqera Platform

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Introduction

nf-core/references is a bioinformatics pipeline that build references, for multiple use cases.

It is primarily designed to build references for common organisms and store it on AWS igenomes.

From a fasta file, it will be able to build the following references:

  • Bowtie1 index
  • Bowtie2 index
  • BWA-MEM index
  • BWA-MEM2 index
  • DRAGMAP hashtable
  • Fasta dictionary (with GATK4)
  • Fasta fai (with SAMtools)
  • Fasta sizes (with SAMtools)
  • Fasta intervals bed (with GATK4)
  • MSIsensor-pro list

With an additional annotation file describing the genes (either GFF3 or GTF), it will be able to build the following references:

  • GTF (from GFF3 with GFFREAD)
  • HISAT2 index
  • Kallisto index
  • RSEM index
  • Salmon index
  • Splice sites (with HISAT2)
  • STAR index
  • Transcript fasta (with RSEM)

With a vcf file, it will tabix index it.

Assets

Assets are stored in references-assets.

Credits

nf-core/references was originally written by Maxime U Garcia | Edmund Miller | Phil Ewels.

We thank the following people for their extensive assistance in the development of this pipeline:

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 #references channel (you can join with this invite).

How to hack on it

  1. Have docker, and Nextflow installed
  2. nextflow run main.nf

Some thoughts on reference building

  • We could use the glob and if you just drop a fasta in s3 bucket it'll get picked up and new resources built
    • Could take this a step further and make it a little config file that has the fasta, gtf, genome_size etc.
  • How do we avoid rebuilding? Ideally we should build once on a new minor release of an aligner/reference. IMO kinda low priority because the main cost is going to be egress, not compute.
  • How much effort is too much effort?
    • Should it be as easy as adding a file on s3?
    • No that shouldn't be a requirement, should be able to link to a reference externally (A "source of truth" ie an FTP link), and the workflow will build the references
    • So like mulled biocontainers, just make a PR to the samplesheet and boom new reference in the s3 bucket if it's approved?

Roadmap

PoC for v1.0:

  • Replace aws-igenomes
    • bwa, bowtie2, star, bismark need to be built
    • fasta, gtf, bed12, mitoname, macsgsize, blacklist, copied over

Other nice things to have:

  • Building our test-datasets
  • Down-sampling for a unified genomics test dataset creation, (Thinking about viralitegration/rnaseq/wgs) and spiking in test cases of interest (Specific variants for example)

Citations

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/references: 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

- [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.

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Last Year
  • Create event: 9
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  • Issues event: 25
  • Watch event: 12
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  • Issue comment event: 32
  • Push event: 104
  • Pull request review event: 190
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Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 11
  • Total pull requests: 36
  • Average time to close issues: 9 months
  • Average time to close pull requests: 6 days
  • Total issue authors: 5
  • Total pull request authors: 2
  • Average comments per issue: 0.18
  • Average comments per pull request: 0.31
  • Merged pull requests: 21
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 10
  • Pull requests: 36
  • Average time to close issues: 4 months
  • Average time to close pull requests: 6 days
  • Issue authors: 5
  • Pull request authors: 2
  • Average comments per issue: 0.1
  • Average comments per pull request: 0.31
  • Merged pull requests: 21
  • Bot issues: 0
  • Bot pull requests: 0
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