NBC: the Naive Bayes Classification tool webserver for taxonomic classification of metagenomic reads.

Rosen, Gail L; Reichenberger, Erin R; Rosenfeld, Aaron M · Bioinformatics · 2011

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Abstract

Datasets from high-throughput sequencing technologies have yielded a vast amount of data about organisms in environmental samples. Yet, it is still a challenge to assess the exact organism content in these samples because the task of taxonomic classification is too computationally complex to annotate all reads in a dataset. An easy-to-use webserver is needed to process these reads. While many methods exist, only a few are publicly available on webservers, and out of those, most do not annotate all reads. We introduce a webserver that implements the naïve Bayes classifier (NBC) to classify all metagenomic reads to their best taxonomic match. Results indicate that NBC can assign next-generation sequencing reads to their taxonomic classification and can find significant populations of genera that other classifiers may miss. Publicly available at: http://nbc.ece.drexel.edu.

Medical subject headings