MetaMerge: scaling up genome-scale metabolic reconstructions, with application to Mycobacterium tuberculosis
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gb-2012-13-1-r6.pdf
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1.58 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Chindelevitch, Leonid
Stanley, Sarah
Hung, Deborah T.
Regev, Aviv
Berger Leighton, Bonnie
Date Issued
January 2012
Journal
Genome Biology
Publisher
Springer/BioMed Central Ltd
Citation
Chindelevitch, Leonid et al. “MetaMerge: Scaling up Genome-scale Metabolic Reconstructions, with Application to Mycobacterium Tuberculosis.” Genome Biology 13.1 (2012): R6.
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Biology
Massachusetts Institute of Technology. Department of Mathematics
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1186/gb-2012-13-1-r6
