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An Introduction to Next Generation Sequencing Bioinformatic Analysis in Gut Microbiome Studies

The gut microbiome is a microbial ecosystem which expresses 100 times more genes than the human host and plays an essential role in human health and disease pathogenesis. Since most intestinal microbial species are difficult to culture, next generation sequencing technologies have been widely applie...

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Autores principales: Gao, Bei, Chi, Liang, Zhu, Yixin, Shi, Xiaochun, Tu, Pengcheng, Li, Bing, Yin, Jun, Gao, Nan, Shen, Weishou, Schnabl, Bernd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066849/
https://www.ncbi.nlm.nih.gov/pubmed/33918473
http://dx.doi.org/10.3390/biom11040530
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author Gao, Bei
Chi, Liang
Zhu, Yixin
Shi, Xiaochun
Tu, Pengcheng
Li, Bing
Yin, Jun
Gao, Nan
Shen, Weishou
Schnabl, Bernd
author_facet Gao, Bei
Chi, Liang
Zhu, Yixin
Shi, Xiaochun
Tu, Pengcheng
Li, Bing
Yin, Jun
Gao, Nan
Shen, Weishou
Schnabl, Bernd
author_sort Gao, Bei
collection PubMed
description The gut microbiome is a microbial ecosystem which expresses 100 times more genes than the human host and plays an essential role in human health and disease pathogenesis. Since most intestinal microbial species are difficult to culture, next generation sequencing technologies have been widely applied to study the gut microbiome, including 16S rRNA, 18S rRNA, internal transcribed spacer (ITS) sequencing, shotgun metagenomic sequencing, metatranscriptomic sequencing and viromic sequencing. Various software tools were developed to analyze different sequencing data. In this review, we summarize commonly used computational tools for gut microbiome data analysis, which extended our understanding of the gut microbiome in health and diseases.
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spelling pubmed-80668492021-04-25 An Introduction to Next Generation Sequencing Bioinformatic Analysis in Gut Microbiome Studies Gao, Bei Chi, Liang Zhu, Yixin Shi, Xiaochun Tu, Pengcheng Li, Bing Yin, Jun Gao, Nan Shen, Weishou Schnabl, Bernd Biomolecules Review The gut microbiome is a microbial ecosystem which expresses 100 times more genes than the human host and plays an essential role in human health and disease pathogenesis. Since most intestinal microbial species are difficult to culture, next generation sequencing technologies have been widely applied to study the gut microbiome, including 16S rRNA, 18S rRNA, internal transcribed spacer (ITS) sequencing, shotgun metagenomic sequencing, metatranscriptomic sequencing and viromic sequencing. Various software tools were developed to analyze different sequencing data. In this review, we summarize commonly used computational tools for gut microbiome data analysis, which extended our understanding of the gut microbiome in health and diseases. MDPI 2021-04-02 /pmc/articles/PMC8066849/ /pubmed/33918473 http://dx.doi.org/10.3390/biom11040530 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Gao, Bei
Chi, Liang
Zhu, Yixin
Shi, Xiaochun
Tu, Pengcheng
Li, Bing
Yin, Jun
Gao, Nan
Shen, Weishou
Schnabl, Bernd
An Introduction to Next Generation Sequencing Bioinformatic Analysis in Gut Microbiome Studies
title An Introduction to Next Generation Sequencing Bioinformatic Analysis in Gut Microbiome Studies
title_full An Introduction to Next Generation Sequencing Bioinformatic Analysis in Gut Microbiome Studies
title_fullStr An Introduction to Next Generation Sequencing Bioinformatic Analysis in Gut Microbiome Studies
title_full_unstemmed An Introduction to Next Generation Sequencing Bioinformatic Analysis in Gut Microbiome Studies
title_short An Introduction to Next Generation Sequencing Bioinformatic Analysis in Gut Microbiome Studies
title_sort introduction to next generation sequencing bioinformatic analysis in gut microbiome studies
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066849/
https://www.ncbi.nlm.nih.gov/pubmed/33918473
http://dx.doi.org/10.3390/biom11040530
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