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EDEN: evolutionary dynamics within environments

SUMMARY: Metagenomics revolutionized the field of microbial ecology, giving access to Gb-sized datasets of microbial communities under natural conditions. This enables fine-grained analyses of the functions of community members, studies of their association with phenotypes and environments, as well...

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Detalles Bibliográficos
Autores principales: Münch, Philipp C, Stecher, Bärbel, McHardy, Alice C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860032/
https://www.ncbi.nlm.nih.gov/pubmed/28637301
http://dx.doi.org/10.1093/bioinformatics/btx394
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author Münch, Philipp C
Stecher, Bärbel
McHardy, Alice C
author_facet Münch, Philipp C
Stecher, Bärbel
McHardy, Alice C
author_sort Münch, Philipp C
collection PubMed
description SUMMARY: Metagenomics revolutionized the field of microbial ecology, giving access to Gb-sized datasets of microbial communities under natural conditions. This enables fine-grained analyses of the functions of community members, studies of their association with phenotypes and environments, as well as of their microevolution and adaptation to changing environmental conditions. However, phylogenetic methods for studying adaptation and evolutionary dynamics are not able to cope with big data. EDEN is the first software for the rapid detection of protein families and regions under positive selection, as well as their associated biological processes, from meta- and pangenome data. It provides an interactive result visualization for detailed comparative analyses. AVAILABILITY AND IMPLEMENTATION: EDEN is available as a Docker installation under the GPL 3.0 license, allowing its use on common operating systems, at http://www.github.com/hzi-bifo/eden. CONTACT: alice.mchardy@helmholtz-hzi.de SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-58600322018-03-23 EDEN: evolutionary dynamics within environments Münch, Philipp C Stecher, Bärbel McHardy, Alice C Bioinformatics Applications Notes SUMMARY: Metagenomics revolutionized the field of microbial ecology, giving access to Gb-sized datasets of microbial communities under natural conditions. This enables fine-grained analyses of the functions of community members, studies of their association with phenotypes and environments, as well as of their microevolution and adaptation to changing environmental conditions. However, phylogenetic methods for studying adaptation and evolutionary dynamics are not able to cope with big data. EDEN is the first software for the rapid detection of protein families and regions under positive selection, as well as their associated biological processes, from meta- and pangenome data. It provides an interactive result visualization for detailed comparative analyses. AVAILABILITY AND IMPLEMENTATION: EDEN is available as a Docker installation under the GPL 3.0 license, allowing its use on common operating systems, at http://www.github.com/hzi-bifo/eden. CONTACT: alice.mchardy@helmholtz-hzi.de SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2017-10-15 2017-06-16 /pmc/articles/PMC5860032/ /pubmed/28637301 http://dx.doi.org/10.1093/bioinformatics/btx394 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Applications Notes
Münch, Philipp C
Stecher, Bärbel
McHardy, Alice C
EDEN: evolutionary dynamics within environments
title EDEN: evolutionary dynamics within environments
title_full EDEN: evolutionary dynamics within environments
title_fullStr EDEN: evolutionary dynamics within environments
title_full_unstemmed EDEN: evolutionary dynamics within environments
title_short EDEN: evolutionary dynamics within environments
title_sort eden: evolutionary dynamics within environments
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860032/
https://www.ncbi.nlm.nih.gov/pubmed/28637301
http://dx.doi.org/10.1093/bioinformatics/btx394
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