{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T01:18:06Z","timestamp":1779931086385,"version":"3.53.1"},"reference-count":13,"publisher":"Oxford University Press (OUP)","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,4,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: Elementary flux mode (EFM) analysis is a powerful technique for determining the metabolic capacities and robustness of stoichiometric networks. Recently, several improvements have been made to the algorithm for enumerating the EFMs, making the study of large models possible. However, currently these tools require high performance workstations to perform large-scale EFM computations, thus limiting their applicability. We developed a more time and memory efficient implementation of the algorithm for EFM enumeration in MATLAB, called FluxModeCalculator, which enables large-scale EFM computation on ordinary desktop computers.<\/jats:p>\n               <jats:p>Availability and implementation: FluxModeCalculator is open source and freely available under the terms of the GNU General Public License v3.0 at http:\/\/www.lumc.nl\/jan-bert-van-klinken<\/jats:p>\n               <jats:p>Contact: \u00a0j.b.van_klinken@lumc.nl<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btv742","type":"journal-article","created":{"date-parts":[[2015,12,19]],"date-time":"2015-12-19T04:10:02Z","timestamp":1450498202000},"page":"1265-1266","source":"Crossref","is-referenced-by-count":32,"title":["FluxModeCalculator: an efficient tool for large-scale flux mode computation"],"prefix":"10.1093","volume":"32","author":[{"given":"Jan Bert","family":"van Klinken","sequence":"first","affiliation":[{"name":"1 Department of Human Genetics"},{"name":"2 Einthoven Laboratory for Experimental Vascular Medicine"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ko","family":"Willems van Dijk","sequence":"additional","affiliation":[{"name":"1 Department of Human Genetics"},{"name":"2 Einthoven Laboratory for Experimental Vascular Medicine"},{"name":"3 Department of Medicine, Division of Endocrinology, LUMC, Leiden, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2015,12,18]]},"reference":[{"key":"2023020112213112600_btv742-B1","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1186\/1471-2105-5-175","article-title":"Computation of elementary modes: a unifying framework and the new binary approach","volume":"5","author":"Gagneur","year":"2004","journal-title":"BMC Bioinformatics"},{"key":"2023020112213112600_btv742-B2","doi-asserted-by":"crossref","first-page":"3192","DOI":"10.1111\/j.1742-4658.2012.08700.x","article-title":"Detecting and investigating substrate cycles in a genome-scale human metabolic network","volume":"279","author":"Gebauer","year":"2012","journal-title":"FEBS J"},{"key":"2023020112213112600_btv742-B3","doi-asserted-by":"crossref","first-page":"8930","DOI":"10.1038\/srep08930","article-title":"Metabolomics integrated elementary flux mode analysis in large metabolic networks","volume":"5","author":"Gerstl","year":"2015","journal-title":"Sci. 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