Journal
BIOINFORMATICS
Volume 27, Issue 1, Pages 127-129Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btq619
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Funding
- National Science Foundation [0845827]
- Department of Energy [DE-SC0004335]
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Motivation: 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. Results: We introduce a webserver that implements the naive 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.
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