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Trimmomatic: a flexible trimmer for Illumina sequence data

Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more...

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Detalles Bibliográficos
Autores principales: Bolger, Anthony M., Lohse, Marc, Usadel, Bjoern
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4103590/
https://www.ncbi.nlm.nih.gov/pubmed/24695404
http://dx.doi.org/10.1093/bioinformatics/btu170
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author Bolger, Anthony M.
Lohse, Marc
Usadel, Bjoern
author_facet Bolger, Anthony M.
Lohse, Marc
Usadel, Bjoern
author_sort Bolger, Anthony M.
collection PubMed
description Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-41035902014-07-18 Trimmomatic: a flexible trimmer for Illumina sequence data Bolger, Anthony M. Lohse, Marc Usadel, Bjoern Bioinformatics Original Papers Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2014-08-01 2014-04-01 /pmc/articles/PMC4103590/ /pubmed/24695404 http://dx.doi.org/10.1093/bioinformatics/btu170 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Papers
Bolger, Anthony M.
Lohse, Marc
Usadel, Bjoern
Trimmomatic: a flexible trimmer for Illumina sequence data
title Trimmomatic: a flexible trimmer for Illumina sequence data
title_full Trimmomatic: a flexible trimmer for Illumina sequence data
title_fullStr Trimmomatic: a flexible trimmer for Illumina sequence data
title_full_unstemmed Trimmomatic: a flexible trimmer for Illumina sequence data
title_short Trimmomatic: a flexible trimmer for Illumina sequence data
title_sort trimmomatic: a flexible trimmer for illumina sequence data
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4103590/
https://www.ncbi.nlm.nih.gov/pubmed/24695404
http://dx.doi.org/10.1093/bioinformatics/btu170
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