工具箱
计算机科学
计算生物学
代谢网络
同源建模
基因组
MATLAB语言
生物
程序设计语言
基因
遗传学
生物化学
酶
作者
Francisco Zorrilla,Eduard J. Kerkhoven
标识
DOI:10.1007/978-1-0716-2399-2_16
摘要
Genome-scale metabolic models (GEMs) provide a useful framework for modeling the metabolism of microorganisms. While the applications of GEMs are wide and far reaching, the reconstruction and continuous curation of such models can be perceived as a tedious and time-consuming task. Using RAVEN, a MATLAB-based toolbox designed to facilitate the reconstruction analysis of metabolic networks, this protocol practically demonstrates how researchers can create their own GEMs using a homology-based approach. To provide a complete example, a draft GEM for the industrially relevant yeast Hansenula polymorpha is reconstructed.
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