Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/9016
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dc.contributor.authorPlanes, FJ-
dc.contributor.authorBeasley, JE-
dc.date.accessioned2014-09-08T14:22:59Z-
dc.date.available2014-09-08T14:22:59Z-
dc.date.issued2009-
dc.identifier.citationBioinformatics, 25(20), 2723 - 2729, 2009en_US
dc.identifier.issn1367-4803-
dc.identifier.urihttp://bioinformatics.oxfordjournals.org/content/25/20/2723en
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/9016-
dc.descriptionThis article is available open access through the publisher’s website through the link below. Copyright @ The Author 2009.en_US
dc.description.abstractMotivation: Different mathematical methods have emerged in the post-genomic era to determine metabolic pathways. These methods can be divided into stoichiometric methods and path finding methods. In this paper we detail a novel optimization model, based upon integer linear programming, to determine metabolic pathways. Our model links reaction stoichiometry with path finding in a single approach. We test the ability of our model to determine 40 annotated Escherichia coli metabolic pathways. We show that our model is able to determine 36 of these 40 pathways in a computationally effective manner. Contact: john.beasley@brunel.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online (http://bioinformatics.oxfordjournals.org/cgi/content/full/btp441/DC1).en_US
dc.languageEnglish-
dc.language.isoenen_US
dc.publisherOxford University Pressen_US
dc.subjectMetabolic pathwaysen_US
dc.subjectInteger linear programmingen_US
dc.subjectOptimization modelen_US
dc.subjectEscherichia coli metabolic pathwaysen_US
dc.titleAn optimization model for metabolic pathwaysen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1093/bioinformatics/btp441-
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Appears in Collections:Dept of Mathematics Research Papers
Mathematical Sciences

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