Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1783307937519763456 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5860032 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT munchphilippc edenevolutionarydynamicswithinenvironments AT stecherbarbel edenevolutionarydynamicswithinenvironments AT mchardyalicec edenevolutionarydynamicswithinenvironments |