dbOTU3: A new implementation of distribution-based OTU calling | Zendy

Scott W. Olesen | Zendy; Claire Duvallet | Zendy; Eric J. Alm | Zendy

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dbOTU3: A new implementation of distribution-based OTU calling

Author(s) -

Scott W. Olesen,

Claire Duvallet,

Eric J. Alm

Publication year - 2017

Publication title -

plos one

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.99

H-Index - 332

ISSN - 1932-6203

DOI - 10.1371/journal.pone.0176335

Subject(s) - implementation , computer science , distribution (mathematics) , data science , data mining , ecology , theoretical computer science , software engineering , biology , mathematics , mathematical analysis

Distribution-based operational taxonomic unit-calling (dbOTU) improves on other approaches by incorporating information about the input sequences’ distribution across samples. Previous implementations of dbOTU presented challenges for users. Here we introduce and evaluate a new implementation of dbOTU that is faster and more user-friendly. We show that this new implementation has theoretical and practical improvements over previous implementations of dbOTU, making the algorithm more accessible to microbial ecology and biomedical researchers.

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