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Bioinformatics for Whole-Genome Shotgun Sequencing of Microbial Communities
The application of whole-genome shotgun sequencing to microbial communities represents a major development in metagenomics, the study of uncultured microbes via the tools of modern genomic analysis. In the past year, whole-genome shotgun sequencing projects of prokaryotic communities from an acid mi...
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2005
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1185649/ https://www.ncbi.nlm.nih.gov/pubmed/16110337 http://dx.doi.org/10.1371/journal.pcbi.0010024 |
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author | Chen, Kevin Pachter, Lior |
author_facet | Chen, Kevin Pachter, Lior |
author_sort | Chen, Kevin |
collection | PubMed |
description | The application of whole-genome shotgun sequencing to microbial communities represents a major development in metagenomics, the study of uncultured microbes via the tools of modern genomic analysis. In the past year, whole-genome shotgun sequencing projects of prokaryotic communities from an acid mine biofilm, the Sargasso Sea, Minnesota farm soil, three deep-sea whale falls, and deep-sea sediments have been reported, adding to previously published work on viral communities from marine and fecal samples. The interpretation of this new kind of data poses a wide variety of exciting and difficult bioinformatics problems. The aim of this review is to introduce the bioinformatics community to this emerging field by surveying existing techniques and promising new approaches for several of the most interesting of these computational problems. |
format | Text |
id | pubmed-1185649 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-11856492005-08-17 Bioinformatics for Whole-Genome Shotgun Sequencing of Microbial Communities Chen, Kevin Pachter, Lior PLoS Comput Biol Review The application of whole-genome shotgun sequencing to microbial communities represents a major development in metagenomics, the study of uncultured microbes via the tools of modern genomic analysis. In the past year, whole-genome shotgun sequencing projects of prokaryotic communities from an acid mine biofilm, the Sargasso Sea, Minnesota farm soil, three deep-sea whale falls, and deep-sea sediments have been reported, adding to previously published work on viral communities from marine and fecal samples. The interpretation of this new kind of data poses a wide variety of exciting and difficult bioinformatics problems. The aim of this review is to introduce the bioinformatics community to this emerging field by surveying existing techniques and promising new approaches for several of the most interesting of these computational problems. Public Library of Science 2005-07 2005-07-12 /pmc/articles/PMC1185649/ /pubmed/16110337 http://dx.doi.org/10.1371/journal.pcbi.0010024 Text en Copyright: © 2005 Chen and Pachter. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Review Chen, Kevin Pachter, Lior Bioinformatics for Whole-Genome Shotgun Sequencing of Microbial Communities |
title | Bioinformatics for Whole-Genome Shotgun Sequencing of Microbial Communities |
title_full | Bioinformatics for Whole-Genome Shotgun Sequencing of Microbial Communities |
title_fullStr | Bioinformatics for Whole-Genome Shotgun Sequencing of Microbial Communities |
title_full_unstemmed | Bioinformatics for Whole-Genome Shotgun Sequencing of Microbial Communities |
title_short | Bioinformatics for Whole-Genome Shotgun Sequencing of Microbial Communities |
title_sort | bioinformatics for whole-genome shotgun sequencing of microbial communities |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1185649/ https://www.ncbi.nlm.nih.gov/pubmed/16110337 http://dx.doi.org/10.1371/journal.pcbi.0010024 |
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