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原文連結
論文資訊
- 類型：已發表論文
- 日期：2012
摘要
The human microbiome plays a key role in a wide range of host-related processes and has a profound effect on human health. Comparative analyses of the human microbiome have revealed substantial variation in 物種 and gene composition associated with a variety of 疾病 states but may fall short of providing a comprehensive understanding of the impact of this variation on the community and on the host. Here, we introduce a metagenomic systems biology 計算 framework, integrating metagenomic data with an in silico systems-level analysis of metabolic 網絡s. Focusing on the gut microbiome, we analyze fecal metagenomic data from 124 unrelated individuals, as well as six monozygotic twin pairs and their mothers, and generate community-level metabolic 網絡s of the microbiome. Placing variations in gene abundan
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