NBC: the Naïve Bayes Classification tool webserver for taxonomic classification of metagenomic reads
Year: 2010
Type: article
Abstract: 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 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. AVAILABILITY: Publicly available at: http://nbc.ece.drexel.edu.
Source: Bioinformatics
Institution: Drexel University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $3,989
OpenAlex ID: W2128124531