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Targeted metagenomic sequencing data of human gut microbiota associated with Blastocystis colonization
In the past decade, metagenomics studies have become widespread due to the arrival of second-generation sequencing platforms characterized by low costs, high throughput and short read lengths. Today, although benchtop sequencers are considered to be accurate platforms to deliver data for targeted me...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5486356/ https://www.ncbi.nlm.nih.gov/pubmed/28654083 http://dx.doi.org/10.1038/sdata.2017.81 |
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author | Siegwald, Léa Audebert, Christophe Even, Gaël Viscogliosi, Eric Caboche, Ségolène Chabé, Magali |
author_facet | Siegwald, Léa Audebert, Christophe Even, Gaël Viscogliosi, Eric Caboche, Ségolène Chabé, Magali |
author_sort | Siegwald, Léa |
collection | PubMed |
description | In the past decade, metagenomics studies have become widespread due to the arrival of second-generation sequencing platforms characterized by low costs, high throughput and short read lengths. Today, although benchtop sequencers are considered to be accurate platforms to deliver data for targeted metagenomics studies, the limiting factor has become the analysis of these data. In a previous paper, we performed an Ion Torrent PGM 16S rDNA gene sequencing of faecal DNAs from 48 Blastocystis-colonized patients and 48 Blastocystis-negative subjects, in order to decipher the impact of this widespread protist on gut microbiota composition and diversity. We report here on the Ion Torrent targeted metagenomic sequencing and analysis of these 96 human faecal samples, and the complete datasets from raw to analysed data. We also provide the key steps of the bioinformatic analyses, from library preparation to data filtering and OTUs tables generation. This data represents a valuable resource for the scientific community, enabling re-processing of these targeted metagenomic datasets through various pipelines and a comparative evaluation of microbiota analysis methods. |
format | Online Article Text |
id | pubmed-5486356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-54863562017-07-05 Targeted metagenomic sequencing data of human gut microbiota associated with Blastocystis colonization Siegwald, Léa Audebert, Christophe Even, Gaël Viscogliosi, Eric Caboche, Ségolène Chabé, Magali Sci Data Data Descriptor In the past decade, metagenomics studies have become widespread due to the arrival of second-generation sequencing platforms characterized by low costs, high throughput and short read lengths. Today, although benchtop sequencers are considered to be accurate platforms to deliver data for targeted metagenomics studies, the limiting factor has become the analysis of these data. In a previous paper, we performed an Ion Torrent PGM 16S rDNA gene sequencing of faecal DNAs from 48 Blastocystis-colonized patients and 48 Blastocystis-negative subjects, in order to decipher the impact of this widespread protist on gut microbiota composition and diversity. We report here on the Ion Torrent targeted metagenomic sequencing and analysis of these 96 human faecal samples, and the complete datasets from raw to analysed data. We also provide the key steps of the bioinformatic analyses, from library preparation to data filtering and OTUs tables generation. This data represents a valuable resource for the scientific community, enabling re-processing of these targeted metagenomic datasets through various pipelines and a comparative evaluation of microbiota analysis methods. Nature Publishing Group 2017-06-27 /pmc/articles/PMC5486356/ /pubmed/28654083 http://dx.doi.org/10.1038/sdata.2017.81 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Siegwald, Léa Audebert, Christophe Even, Gaël Viscogliosi, Eric Caboche, Ségolène Chabé, Magali Targeted metagenomic sequencing data of human gut microbiota associated with Blastocystis colonization |
title | Targeted metagenomic sequencing data of human gut microbiota associated with Blastocystis colonization |
title_full | Targeted metagenomic sequencing data of human gut microbiota associated with Blastocystis colonization |
title_fullStr | Targeted metagenomic sequencing data of human gut microbiota associated with Blastocystis colonization |
title_full_unstemmed | Targeted metagenomic sequencing data of human gut microbiota associated with Blastocystis colonization |
title_short | Targeted metagenomic sequencing data of human gut microbiota associated with Blastocystis colonization |
title_sort | targeted metagenomic sequencing data of human gut microbiota associated with blastocystis colonization |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5486356/ https://www.ncbi.nlm.nih.gov/pubmed/28654083 http://dx.doi.org/10.1038/sdata.2017.81 |
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