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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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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. |
format | Online Article Text |
id | pubmed-3504927 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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