Universität zu Köln

Muench, Philipp C., Stecher, Baerbel and McHardy, Alice C. (2017). EDEN: evolutionary dynamics within environments. Bioinformatics, 33 (20). S. 3292 - 3296. OXFORD: OXFORD UNIV PRESS. ISSN 1460-2059

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Abstract

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.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Muench, Philipp C. UNSPECIFIED UNSPECIFIED UNSPECIFIED Stecher, Baerbel UNSPECIFIED UNSPECIFIED UNSPECIFIED McHardy, Alice C. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-214193
DOI:	10.1093/bioinformatics/btx394
Journal or Publication Title:	Bioinformatics
Volume:	33
Number:	20
Page Range:	S. 3292 - 3296
Date:	2017
Publisher:	OXFORD UNIV PRESS
Place of Publication:	OXFORD
ISSN:	1460-2059
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language MOLECULAR SIGNATURES; NATURAL-SELECTION; HIGH-THROUGHPUT; SITES Multiple languages Biochemical Research Methods; Biotechnology & Applied Microbiology; Computer Science, Interdisciplinary Applications; Mathematical & Computational Biology; Statistics & Probability Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/21419