MetaMerge: scaling up genome-scale metabolic reconstructions with application to Mycobacterium tuberculosis

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MetaMerge: scaling up genome-scale metabolic reconstructions with application to Mycobacterium tuberculosis

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Title: MetaMerge: scaling up genome-scale metabolic reconstructions with application to Mycobacterium tuberculosis
Author: Chindelevitch, Leonid; Stanley, Sarah; Hung, Deborah; Regev, Aviv; Berger, Bonnie

Note: Order does not necessarily reflect citation order of authors.

Citation: Chindelevitch, Leonid, Sarah Stanley, Deborah Hung, Aviv Regev, and Bonnie Berger. 2012. MetaMerge: scaling up genome-scale metabolic reconstructions with application to Mycobacterium tuberculosis. Genome Biology 13(1): r6.
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Abstract: Reconstructed models of metabolic networks are widely used for studying metabolism in various organisms. Many different reconstructions of the same organism often exist concurrently, forcing researchers to choose one of them at the exclusion of the others. We describe MetaMerge, an algorithm for semi-automatically reconciling a pair of existing metabolic network reconstructions into a single metabolic network model. We use MetaMerge to combine two published metabolic networks for Mycobacterium tuberculosis into a single network, which allows many reactions that could not be active in the individual models to become active, and predicts essential genes with a higher positive predictive value.
Published Version: doi:10.1186/gb-2012-13-1-r6
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3488975/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:10581403
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