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Current opportunities and challenges in microbial metagenome analysis—a bioinformatic perspective

Metagenomics has become an indispensable tool for studying the diversity and metabolic potential of environmental microbes, whose bulk is as yet non-cultivable. Continual progress in next-generation sequencing allows for generating increasingly large metagenomes and studying multiple metagenomes ove...

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Detalles Bibliográficos
Autores principales: Teeling, Hanno, Glöckner, Frank Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3504927/
https://www.ncbi.nlm.nih.gov/pubmed/22966151
http://dx.doi.org/10.1093/bib/bbs039
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author Teeling, Hanno
Glöckner, Frank Oliver
author_facet Teeling, Hanno
Glöckner, Frank Oliver
author_sort Teeling, Hanno
collection PubMed
description Metagenomics has become an indispensable tool for studying the diversity and metabolic potential of environmental microbes, whose bulk is as yet non-cultivable. Continual progress in next-generation sequencing allows for generating increasingly large metagenomes and studying multiple metagenomes over time or space. Recently, a new type of holistic ecosystem study has emerged that seeks to combine metagenomics with biodiversity, meta-expression and contextual data. Such ‘ecosystems biology’ approaches bear the potential to not only advance our understanding of environmental microbes to a new level but also impose challenges due to increasing data complexities, in particular with respect to bioinformatic post-processing. This mini review aims to address selected opportunities and challenges of modern metagenomics from a bioinformatics perspective and hopefully will serve as a useful resource for microbial ecologists and bioinformaticians alike.
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spelling pubmed-35049272012-11-23 Current opportunities and challenges in microbial metagenome analysis—a bioinformatic perspective Teeling, Hanno Glöckner, Frank Oliver Brief Bioinform Papers Metagenomics has become an indispensable tool for studying the diversity and metabolic potential of environmental microbes, whose bulk is as yet non-cultivable. Continual progress in next-generation sequencing allows for generating increasingly large metagenomes and studying multiple metagenomes over time or space. Recently, a new type of holistic ecosystem study has emerged that seeks to combine metagenomics with biodiversity, meta-expression and contextual data. Such ‘ecosystems biology’ approaches bear the potential to not only advance our understanding of environmental microbes to a new level but also impose challenges due to increasing data complexities, in particular with respect to bioinformatic post-processing. This mini review aims to address selected opportunities and challenges of modern metagenomics from a bioinformatics perspective and hopefully will serve as a useful resource for microbial ecologists and bioinformaticians alike. Oxford University Press 2012-11 2012-09-08 /pmc/articles/PMC3504927/ /pubmed/22966151 http://dx.doi.org/10.1093/bib/bbs039 Text en © The Author 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Papers
Teeling, Hanno
Glöckner, Frank Oliver
Current opportunities and challenges in microbial metagenome analysis—a bioinformatic perspective
title Current opportunities and challenges in microbial metagenome analysis—a bioinformatic perspective
title_full Current opportunities and challenges in microbial metagenome analysis—a bioinformatic perspective
title_fullStr Current opportunities and challenges in microbial metagenome analysis—a bioinformatic perspective
title_full_unstemmed Current opportunities and challenges in microbial metagenome analysis—a bioinformatic perspective
title_short Current opportunities and challenges in microbial metagenome analysis—a bioinformatic perspective
title_sort current opportunities and challenges in microbial metagenome analysis—a bioinformatic perspective
topic Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3504927/
https://www.ncbi.nlm.nih.gov/pubmed/22966151
http://dx.doi.org/10.1093/bib/bbs039
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