Using bees hill flux balance analysis (BHFBA) for in silico microbial strain optimization

Microbial strains can be manipulated to improve product yield and improve growth characteristics. Optimization algorithms are developed to identify the effects of gene knockout on the results. However, this process is often faced the problem of being trapped in local minima and slow convergence due...

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Bibliographic Details
Main Authors: Yee, Wen Choon, Mohamad, Mohd. Saberi, Deris, Safaai, Md. Illias, Rosli, Lian, En Chai, Chuii, Khim Chong
Format: Conference or Workshop Item
Published: 2013
Subjects:
Online Access:http://eprints.utm.my/id/eprint/51385/
https://doi.org/10.1007/978-3-642-36546-1_39
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