TY - JOUR T1 - WEVOTE: Weighted Voting Taxonomic Identification Method of Microbial Sequences JF - bioRxiv DO - 10.1101/054205 SP - 054205 AU - Ahmed Metwally AU - Yang Dai AU - Patricia Finn AU - David Perkins Y1 - 2016/01/01 UR - http://biorxiv.org/content/early/2016/05/22/054205.abstract N2 - Metagenome shotgun sequencing presents opportunities to identify organisms that may prevent or promote disease. Analysis of sample diversity is achieved by taxonomic identification of metagenomic reads followed by generating an abundance profile. Numerous tools have been developed for taxonomic identification based on different design principles. Tools that have been designed to achieve high precision and practical performance still lack sensitivity. Moreover, tools with the highest sensitivity suffer from low precision, low specificity along with long computation time. In this paper, we present WEVOTE (WEighted VOting Taxonomic idEntification), a method that classifies metagenome shotgun sequencing DNA reads based on an ensemble of existing methods using k-mer based, marker-based, and naive-similarity based approaches. Our evaluation, based on fourteen benchmarking datasets, shows that WEVOTE reduces occurrence of the false positives to half of that produced by other high sensitive tools while also maintaining the same level of sensitivity. WEVOTE is an efficient, automated tool that combines multiple individual taxonomic identification methods. It is expandable and has the potential to reduce false positives and produce a more accurate taxonomic identification for microbiome data. WEVOTE was implemented using C++ and shell script and is available at http://bitbucket.org/ametwally/wevote.AbbreviationsWEVOTEWEighted VOting Taxonomic idEntification methodMGSMetaGenome ShotgunLCALeast Common AncestorTIPPTaxonomic Identification and Phylogenetic ProfilingBLASTBasic Local Alignment Search ToolNCBINational Center for Biotechnology Information ER -