A modularity-based clustering method, for operational taxonomic unit (OTU) picking of 16S rRNA sequences. The algorithm does not require a predetermined cut-off value, and our simulation studies suggest that it is superior to the methods that require specified distance levels to define OTUs. M-pick appears to offer a viable alternative for binning similar sequences into OTUs.
Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA; Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA; Department of Microbiology and Immunology, Center of Excellence in Bioinformatics & Life Sciences, Department of Computer Science and Engineering, The State University of New York at Buffalo, Buffalo, NY, USA
M-pick funding source(s)
This work is supported in part by National Science Foundation under grant No. DBI-1062362.