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ABSTRACT: Background
The genomic information of a species allows for the genome-scale reconstruction of its metabolic capacity. Such a metabolic reconstruction gives support to metabolic engineering, but also to integrative bioinformatics and visualization. Sequence-based automatic reconstructions require extensive manual curation, which can be very time-consuming. Therefore, we present a method to accelerate the time-consuming process of network reconstruction for a query species. The method exploits the availability of well-curated metabolic networks and uses high-resolution predictions of gene equivalency between species, allowing the transfer of gene-reaction associations from curated networks.Results
We have evaluated the method using Lactococcus lactis IL1403, for which a genom
SUBMITTER: Notebaart RA
PROVIDER: S-EPMC1550432 | biostudies-literature | 2006 Jun
REPOSITORIES: biostudies-literature