WEVOTE: Weighted Voting Taxonomic Identification Method of Microbial Sequences.

ABSTRACT:

Background

Metagenome shotgun sequencing presents opportunities to identify organisms that may prevent or promote disease. The analysis of sample diversity is achieved by taxonomic identification of metagenomic reads followed by generating an abundance profile. Numerous tools have been developed based on different design principles. Tools achieving high precision can lack sensitivity in some applications. Conversely, tools with high sensitivity can suffer from low precision and require long computation time.

Methods

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 eval

SUBMITTER: Metwally AA 

PROVIDER: S-EPMC5040256 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature