An efficient graph theory based method to identify every minimal reaction set in a metabolic network
10.1186/1752-0509-8-28
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sg-nus-scholar.10635-885292023-10-30T21:35:40Z An efficient graph theory based method to identify every minimal reaction set in a metabolic network Jonnalagadda, S. Srinivasan, R. CHEMICAL & BIOMOLECULAR ENGINEERING Minimal cell Mixed-Integer Linear Program (MILP) Multiple solutions Strain development Systems biotechnology 10.1186/1752-0509-8-28 BMC Systems Biology 8 1 - 2014-10-09T06:43:20Z 2014-10-09T06:43:20Z 2014-03-04 Article Jonnalagadda, S., Srinivasan, R. (2014-03-04). An efficient graph theory based method to identify every minimal reaction set in a metabolic network. BMC Systems Biology 8 (1) : -. ScholarBank@NUS Repository. https://doi.org/10.1186/1752-0509-8-28 17520509 http://scholarbank.nus.edu.sg/handle/10635/88529 000334799900001 Scopus |
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Minimal cell Mixed-Integer Linear Program (MILP) Multiple solutions Strain development Systems biotechnology |
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Minimal cell Mixed-Integer Linear Program (MILP) Multiple solutions Strain development Systems biotechnology Jonnalagadda, S. Srinivasan, R. An efficient graph theory based method to identify every minimal reaction set in a metabolic network |
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10.1186/1752-0509-8-28 |
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CHEMICAL & BIOMOLECULAR ENGINEERING |
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CHEMICAL & BIOMOLECULAR ENGINEERING Jonnalagadda, S. Srinivasan, R. |
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Article |
author |
Jonnalagadda, S. Srinivasan, R. |
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Jonnalagadda, S. |
title |
An efficient graph theory based method to identify every minimal reaction set in a metabolic network |
title_short |
An efficient graph theory based method to identify every minimal reaction set in a metabolic network |
title_full |
An efficient graph theory based method to identify every minimal reaction set in a metabolic network |
title_fullStr |
An efficient graph theory based method to identify every minimal reaction set in a metabolic network |
title_full_unstemmed |
An efficient graph theory based method to identify every minimal reaction set in a metabolic network |
title_sort |
efficient graph theory based method to identify every minimal reaction set in a metabolic network |
publishDate |
2014 |
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http://scholarbank.nus.edu.sg/handle/10635/88529 |
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1781785154347335680 |