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原文連結
論文資訊
- 類型：已發表論文
- 日期：2013-10-17
摘要
Metagenomics has transformed our understanding of the microbial world, allowing researchers to bypass the need to isolate and culture individual taxa and to directly characterize both the taxonomic and gene compositions of environmental samples. However, associating the genes found in a metagenomic sample with the specific taxa of origin remains a critical challenge. Existing binning methods, based on nucleotide composition or alignment to reference 基因組s allow only a coarse-grained classification and rely heavily on the availability of sequenced 基因組s from closely related taxa. Here, we introduce a novel 計算 framework, integrating variation in gene abundances across multiple samples with taxonomic abundance data to deconvolve metagenomic samples into taxa-specific gene profiles and to recons
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