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原文連結
論文資訊
- 類型：已發表論文
- 日期：2016-01-13
摘要
Multiple molecular assays now enable high-throughput profiling of the 生態學, metabolic capacity, and activity of the human microbiome. However, to date, analyses of such multi-omic data typically focus on 統計 associations, often ignoring extensive prior knowledge of the mechanisms linking these various facets of the microbiome. Here, we introduce a comprehensive framework to systematically link variation in metabolomic data with community composition by utilizing taxonomic, genomic, and metabolic 資訊. Specifically, we integrate available and inferred genomic data, metabolic 網絡 modeling, and a method for predicting community-wide metabolite turnover to estimate the biosynthetic and degradation potential of a given community. Our framework then compares variation in predicted metabolic potential
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