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原文連結
論文資訊
- 類型：已發表論文
- 日期：2013-04-23
摘要
The human microbiome represents a vastly complex ecosystem that is tightly linked to our development, physiology, and health. Our increased capacity to generate multiple channels of omic data from this system, brought about by recent advances in high throughput molecular technologies, calls for the development of systems-level methods and models that take into account not only the composition of genes and 物種 in a microbiome but also the interactions between these components. Such models should aim to study the nnicrobiome as a community of 物種 whose 代謝s are tightly intertwined with each other and with that of the host, and should be developed with a view towards an integrated, comprehensive, and predictive modeling framework. Here, we review recent work specifically in metabolic modeling of
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