Uncovering metabolic pathways relevant to phenotypic traits of microbial genomes.

Abstract:

:Identifying the biochemical basis of microbial phenotypes is a main objective of comparative genomics. Here we present a novel method using multivariate machine learning techniques for comparing automatically derived metabolic reconstructions of sequenced genomes on a large scale. Applying our method to 266 genomes directly led to testable hypotheses such as the link between the potential of microorganisms to cause periodontal disease and their ability to degrade histidine, a link also supported by clinical studies.

journal_name

Genome Biol

journal_title

Genome biology

authors

Kastenmüller G,Schenk ME,Gasteiger J,Mewes HW

doi

10.1186/gb-2009-10-3-r28

subject

Has Abstract

pub_date

2009-01-01 00:00:00

pages

R28

issue

3

eissn

1474-7596

issn

1474-760X

pii

gb-2009-10-3-r28

journal_volume

10

pub_type

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