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MetaPhyl | Phylogeny-based classification of microbial communities

A classification method for 16S rDNA sequence samples that uses the natural structure of microbial community data encoded by a phylogenetic tree. We showed that using the phylogenetic information leads to an improved classification accuracy compared with the state-of-the-art classification algorithms. Unlike many popular classification methods, which consider features (or operational taxonomic unit (OTU) frequencies) in isolation, our method takes advantage of the similarities between OTUs encoded by the phylogenetic tree.

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  • Tao Jiang <>


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Department of Computer Science and Engineering, University of California, Riverside, CA, USA; Department of Plant Pathology and Microbiology, University of California, Riverside, CA, USA; School of Information Science and Technology, Tsinghua University, Beijing, China

Funding source(s)

National Science Foundation (grant DBI-1262107) (in part) and a UCR Seed grant

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