Accurate read-based metagenome characterization using a hierarchical suite of unique signatures.

ABSTRACT: A major challenge in the field of shotgun metagenomics is the accurate identification of organisms present within a microbial community, based on classification of short sequence reads. Though existing microbial community profiling methods have attempted to rapidly classify the millions of reads output from modern sequencers, the combination of incomplete databases, similarity among otherwise divergent genomes, errors and biases in sequencing technologies, and the large volumes of sequencing data required for metagenome sequencing has led to unacceptably high false discovery rates (FDR). Here, we present the application of a novel, gene-independent and signature-based metagenomic taxonomic profiling method with significantly and consistently smaller FDR than any other available method. Our

SUBMITTER: Freitas TA 

PROVIDER: S-EPMC4446416 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature