Metagenomic analysis: the challenge of the data bonanza

Several thousand metagenomes have already been sequenced, and this number is set to grow rapidly in the forthcoming years as the uptake of high-throughput sequencing technologies continues. Hand-in-hand with this data bonanza comes the computationally overwhelming task of analysis. Herein, we descri...

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Detalles Bibliográficos
Autores principales: Hunter, Chris I., Mitchell, Alex, Jones, Philip, McAnulla, Craig, Pesseat, Sebastien, Scheremetjew, Maxim, Hunter, Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3504930/
https://www.ncbi.nlm.nih.gov/pubmed/22962339
http://dx.doi.org/10.1093/bib/bbs020
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author Hunter, Chris I.
Mitchell, Alex
Jones, Philip
McAnulla, Craig
Pesseat, Sebastien
Scheremetjew, Maxim
Hunter, Sarah
author_facet Hunter, Chris I.
Mitchell, Alex
Jones, Philip
McAnulla, Craig
Pesseat, Sebastien
Scheremetjew, Maxim
Hunter, Sarah
author_sort Hunter, Chris I.
collection PubMed
description Several thousand metagenomes have already been sequenced, and this number is set to grow rapidly in the forthcoming years as the uptake of high-throughput sequencing technologies continues. Hand-in-hand with this data bonanza comes the computationally overwhelming task of analysis. Herein, we describe some of the bioinformatic approaches currently used by metagenomics researchers to analyze their data, the issues they face and the steps that could be taken to help overcome these challenges.
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spelling pubmed-35049302012-11-23 Metagenomic analysis: the challenge of the data bonanza Hunter, Chris I. Mitchell, Alex Jones, Philip McAnulla, Craig Pesseat, Sebastien Scheremetjew, Maxim Hunter, Sarah Brief Bioinform Papers Several thousand metagenomes have already been sequenced, and this number is set to grow rapidly in the forthcoming years as the uptake of high-throughput sequencing technologies continues. Hand-in-hand with this data bonanza comes the computationally overwhelming task of analysis. Herein, we describe some of the bioinformatic approaches currently used by metagenomics researchers to analyze their data, the issues they face and the steps that could be taken to help overcome these challenges. Oxford University Press 2012-11 2012-09-07 /pmc/articles/PMC3504930/ /pubmed/22962339 http://dx.doi.org/10.1093/bib/bbs020 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
Hunter, Chris I.
Mitchell, Alex
Jones, Philip
McAnulla, Craig
Pesseat, Sebastien
Scheremetjew, Maxim
Hunter, Sarah
Metagenomic analysis: the challenge of the data bonanza
title Metagenomic analysis: the challenge of the data bonanza
title_full Metagenomic analysis: the challenge of the data bonanza
title_fullStr Metagenomic analysis: the challenge of the data bonanza
title_full_unstemmed Metagenomic analysis: the challenge of the data bonanza
title_short Metagenomic analysis: the challenge of the data bonanza
title_sort metagenomic analysis: the challenge of the data bonanza
topic Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3504930/
https://www.ncbi.nlm.nih.gov/pubmed/22962339
http://dx.doi.org/10.1093/bib/bbs020
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