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SnakeWRAP: a Snakemake workflow to facilitate automated processing of metagenomic data through the metaWRAP pipeline

Generating high-quality genome assemblies of complex microbial populations from shotgun metagenomics data is often a manually intensive task involving many computational steps. SnakeWRAP is a novel tool, implemented in the Snakemake workflow language, to automate multiple metaWRAP modules. Specifica...

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Detalles Bibliográficos
Autores principales: Krapohl, John, Pickett, Brett E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10352622/
https://www.ncbi.nlm.nih.gov/pubmed/37469625
http://dx.doi.org/10.12688/f1000research.108835.2
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author Krapohl, John
Pickett, Brett E.
author_facet Krapohl, John
Pickett, Brett E.
author_sort Krapohl, John
collection PubMed
description Generating high-quality genome assemblies of complex microbial populations from shotgun metagenomics data is often a manually intensive task involving many computational steps. SnakeWRAP is a novel tool, implemented in the Snakemake workflow language, to automate multiple metaWRAP modules. Specifically, it wraps the shell scripts provided within the original metaWRAP software, within Snakemake. This approach enables high-throughput simultaneous assembly and analysis of multiple shotgun metagenomic datasets using the robust modular metaWRAP software. We expect this advancement to be of import in institutions where high-performance computing infrastructure is available, especially in the context of big data. This software tool is publicly available at https://github.com/jkrapohl/SnakeWRAP
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spelling pubmed-103526222023-07-19 SnakeWRAP: a Snakemake workflow to facilitate automated processing of metagenomic data through the metaWRAP pipeline Krapohl, John Pickett, Brett E. F1000Res Software Tool Article Generating high-quality genome assemblies of complex microbial populations from shotgun metagenomics data is often a manually intensive task involving many computational steps. SnakeWRAP is a novel tool, implemented in the Snakemake workflow language, to automate multiple metaWRAP modules. Specifically, it wraps the shell scripts provided within the original metaWRAP software, within Snakemake. This approach enables high-throughput simultaneous assembly and analysis of multiple shotgun metagenomic datasets using the robust modular metaWRAP software. We expect this advancement to be of import in institutions where high-performance computing infrastructure is available, especially in the context of big data. This software tool is publicly available at https://github.com/jkrapohl/SnakeWRAP F1000 Research Limited 2022-04-28 /pmc/articles/PMC10352622/ /pubmed/37469625 http://dx.doi.org/10.12688/f1000research.108835.2 Text en Copyright: © 2022 Krapohl J and Pickett BE https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software Tool Article
Krapohl, John
Pickett, Brett E.
SnakeWRAP: a Snakemake workflow to facilitate automated processing of metagenomic data through the metaWRAP pipeline
title SnakeWRAP: a Snakemake workflow to facilitate automated processing of metagenomic data through the metaWRAP pipeline
title_full SnakeWRAP: a Snakemake workflow to facilitate automated processing of metagenomic data through the metaWRAP pipeline
title_fullStr SnakeWRAP: a Snakemake workflow to facilitate automated processing of metagenomic data through the metaWRAP pipeline
title_full_unstemmed SnakeWRAP: a Snakemake workflow to facilitate automated processing of metagenomic data through the metaWRAP pipeline
title_short SnakeWRAP: a Snakemake workflow to facilitate automated processing of metagenomic data through the metaWRAP pipeline
title_sort snakewrap: a snakemake workflow to facilitate automated processing of metagenomic data through the metawrap pipeline
topic Software Tool Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10352622/
https://www.ncbi.nlm.nih.gov/pubmed/37469625
http://dx.doi.org/10.12688/f1000research.108835.2
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