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原文連結
論文資訊
- 類型：已發表論文
- 日期：2014-08-22
摘要
To assess the functional capacities of microbial communities, including those inhabiting the human body, shotgun metagenomic reads are often aligned to a database of known genes. Such homology-based annotation practices critically rely on the assumption that short reads can map to orthologous genes of similar function. This assumption, however, and the various factors that impact short read annotation, have not been systematically evaluated. To address this challenge, we generated an extremely large database of simulated reads (totaling 15.9 Gb), spanning over 500,000 microbial genes and 170 curated 基因組s and including, for many 基因組s, every possible read of a given length. We annotated each read using common metagenomic protocols, fully characterizing the effect of read length, sequencing e
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