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

Heritage and Sustainable Development

View Publication Info
 
 
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
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://hsd.ardascience.com/index.php/journal/article/view/4
10.37868/hsd.v1i2.4
 
Source Heritage and Sustainable Development; Vol. 1 No. 2 (2019); 78-83
2712-0554
10.37868/hsd.v1i2
 
Language eng
 
Relation https://hsd.ardascience.com/index.php/journal/article/view/4/4
 
Rights Copyright (c) 2019 Mehmet Can, Osman Gürsoy
 

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