Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/173187
Title: | Gut microbiome diversity detected by high-coverage 16S and shotgun sequencing of paired stool and colon sample |
Author: | Mas Lloret, Joan Obón Santacana, Mireia Ibáñez Sanz, Gemma Guinó, Elisabet Pato, Miguel L. Rodríguez Moranta, Francisco Mata, Alfredo García-Rodríguez, Ana Moreno Aguado, Víctor Pimenoff, Ville Nikolai |
Keywords: | Microbiota Còlon Microbiota Colon |
Issue Date: | 1-Jan-2020 |
Publisher: | Nature Publishing Group |
Abstract: | The gut microbiome has a fundamental role in human health and disease. However, studying the complex structure and function of the gut microbiome using next generation sequencing is challenging and prone to reproducibility problems. Here, we obtained cross-sectional colon biopsies and faecal samples from nine participants in our COLSCREEN study and sequenced them in high coverage using Illumina pair-end shotgun (for faecal samples) and IonTorrent 16S (for paired feces and colon biopsies) technologies. The metagenomes consisted of between 47 and 92 million reads per sample and the targeted sequencing covered more than 300 k reads per sample across seven hypervariable regions of the 16S gene. Our data is freely available and coupled with code for the presented metagenomic analysis using up-to-date bioinformatics algorithms. These results will add up to the informed insights into designing comprehensive microbiome analysis and also provide data for further testing for unambiguous gut microbiome analysis. |
Note: | Reproducció del document publicat a: https://doi.org/10.1038/s41597-020-0427-5 |
It is part of: | Scientific Data, 2020, vol. 7 |
URI: | http://hdl.handle.net/2445/173187 |
Related resource: | https://doi.org/10.1038/s41597-020-0427-5 |
Appears in Collections: | Articles publicats en revistes (Ciències Clíniques) Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) |
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File | Description | Size | Format | |
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Mas-LloretJ.pdf | 1.38 MB | Adobe PDF | View/Open |
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