Clustering 16S rRNA for OTU prediction: A similarity based method

Heritage and Sustainable Development

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Field Value
Title Clustering 16S rRNA for OTU prediction: A similarity based method
Creator Can, Mehmet
Gürsoy, Osman
Description To study the phylogeny and taxonomy of samples from complex environments Next-generation sequencing (NGS)-based 16S rRNA sequencing , which has been successfully used  jointly with the PCR amplification and NGS technology. First step for many downstream analyses is clustering 16S rRNA sequences into operational taxonomic units (OTUs). Heuristic clustering is one of the most widely employed approaches for generating OTUs in which one or more seed sequences to represent each cluster are selected. In this work we chose five random seeds for each cluster from a genes library, and  we present a novel distance measure to cluster bacteria in the sample. Artificially created sets of 16S rRNA genes selected from databases are successfully clustered with more than %98 accuracy, sensitivity, and specificity.
Publisher Research and Development Academy - ARDA
Date 2019-12-30
Type info:eu-repo/semantics/article
Peer-reviewed Article
Format application/pdf
Source Heritage and Sustainable Development; Vol. 1 No. 2 (2019); 78-83
Language eng
Rights Copyright (c) 2019 Mehmet Can, Osman Gürsoy

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