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MetaTrans: an open-source pipeline for metatranscriptomics

To date, meta-omic approaches use high-throughput sequencing technologies, which produce a huge amount of data, thus challenging modern computers. Here we present MetaTrans, an efficient open-source pipeline to analyze the structure and functions of active microbial communities using the power of mu...

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Autores principales: Martinez, Xavier, Pozuelo, Marta, Pascal, Victoria, Campos, David, Gut, Ivo, Gut, Marta, Azpiroz, Fernando, Guarner, Francisco, Manichanh, Chaysavanh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4876386/
https://www.ncbi.nlm.nih.gov/pubmed/27211518
http://dx.doi.org/10.1038/srep26447
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author Martinez, Xavier
Pozuelo, Marta
Pascal, Victoria
Campos, David
Gut, Ivo
Gut, Marta
Azpiroz, Fernando
Guarner, Francisco
Manichanh, Chaysavanh
author_facet Martinez, Xavier
Pozuelo, Marta
Pascal, Victoria
Campos, David
Gut, Ivo
Gut, Marta
Azpiroz, Fernando
Guarner, Francisco
Manichanh, Chaysavanh
author_sort Martinez, Xavier
collection PubMed
description To date, meta-omic approaches use high-throughput sequencing technologies, which produce a huge amount of data, thus challenging modern computers. Here we present MetaTrans, an efficient open-source pipeline to analyze the structure and functions of active microbial communities using the power of multi-threading computers. The pipeline is designed to perform two types of RNA-Seq analyses: taxonomic and gene expression. It performs quality-control assessment, rRNA removal, maps reads against functional databases and also handles differential gene expression analysis. Its efficacy was validated by analyzing data from synthetic mock communities, data from a previous study and data generated from twelve human fecal samples. Compared to an existing web application server, MetaTrans shows more efficiency in terms of runtime (around 2 hours per million of transcripts) and presents adapted tools to compare gene expression levels. It has been tested with a human gut microbiome database but also proposes an option to use a general database in order to analyze other ecosystems. For the installation and use of the pipeline, we provide a detailed guide at the following website (www.metatrans.org).
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spelling pubmed-48763862016-06-06 MetaTrans: an open-source pipeline for metatranscriptomics Martinez, Xavier Pozuelo, Marta Pascal, Victoria Campos, David Gut, Ivo Gut, Marta Azpiroz, Fernando Guarner, Francisco Manichanh, Chaysavanh Sci Rep Article To date, meta-omic approaches use high-throughput sequencing technologies, which produce a huge amount of data, thus challenging modern computers. Here we present MetaTrans, an efficient open-source pipeline to analyze the structure and functions of active microbial communities using the power of multi-threading computers. The pipeline is designed to perform two types of RNA-Seq analyses: taxonomic and gene expression. It performs quality-control assessment, rRNA removal, maps reads against functional databases and also handles differential gene expression analysis. Its efficacy was validated by analyzing data from synthetic mock communities, data from a previous study and data generated from twelve human fecal samples. Compared to an existing web application server, MetaTrans shows more efficiency in terms of runtime (around 2 hours per million of transcripts) and presents adapted tools to compare gene expression levels. It has been tested with a human gut microbiome database but also proposes an option to use a general database in order to analyze other ecosystems. For the installation and use of the pipeline, we provide a detailed guide at the following website (www.metatrans.org). Nature Publishing Group 2016-05-23 /pmc/articles/PMC4876386/ /pubmed/27211518 http://dx.doi.org/10.1038/srep26447 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Martinez, Xavier
Pozuelo, Marta
Pascal, Victoria
Campos, David
Gut, Ivo
Gut, Marta
Azpiroz, Fernando
Guarner, Francisco
Manichanh, Chaysavanh
MetaTrans: an open-source pipeline for metatranscriptomics
title MetaTrans: an open-source pipeline for metatranscriptomics
title_full MetaTrans: an open-source pipeline for metatranscriptomics
title_fullStr MetaTrans: an open-source pipeline for metatranscriptomics
title_full_unstemmed MetaTrans: an open-source pipeline for metatranscriptomics
title_short MetaTrans: an open-source pipeline for metatranscriptomics
title_sort metatrans: an open-source pipeline for metatranscriptomics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4876386/
https://www.ncbi.nlm.nih.gov/pubmed/27211518
http://dx.doi.org/10.1038/srep26447
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