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Uncovering metabolic pathways relevant to phenotypic traits of microbial genomes.

Genome Biol. 10:R28 (2009)
Verlagsversion DOI PMC
Open Access Gold
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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Review
Schlagwörter isopentenyl diphosphate isomerase; methylerythritol phosphate-pathway; highly toxic clone; escherichia-coli; saccharomyces-cerevisiae; bacillus-subtilis; actinobacillus-actinomycetemcomitans; methanothermobacter-thermautotrophicus; phosphoglycerate mutase; isoprenoid biosynthesis
ISSN (print) / ISBN 1474-760X
e-ISSN 1465-6906
Zeitschrift Genome Biology
Quellenangaben Band: 10, Heft: 3, Seiten: , Artikelnummer: R28 Supplement: ,
Verlag BioMed Central; Genome Biology Ltd
Begutachtungsstatus