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dbOTU3: A new implementation of distribution-based OTU calling
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 dbO...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5417438/ https://www.ncbi.nlm.nih.gov/pubmed/28472072 http://dx.doi.org/10.1371/journal.pone.0176335 |
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author | Olesen, Scott W. Duvallet, Claire Alm, Eric J. |
author_facet | Olesen, Scott W. Duvallet, Claire Alm, Eric J. |
author_sort | Olesen, Scott W. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5417438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-54174382017-05-14 dbOTU3: A new implementation of distribution-based OTU calling Olesen, Scott W. Duvallet, Claire Alm, Eric J. PLoS One Research Article 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. Public Library of Science 2017-05-04 /pmc/articles/PMC5417438/ /pubmed/28472072 http://dx.doi.org/10.1371/journal.pone.0176335 Text en © 2017 Olesen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Olesen, Scott W. Duvallet, Claire Alm, Eric J. dbOTU3: A new implementation of distribution-based OTU calling |
title | dbOTU3: A new implementation of distribution-based OTU calling |
title_full | dbOTU3: A new implementation of distribution-based OTU calling |
title_fullStr | dbOTU3: A new implementation of distribution-based OTU calling |
title_full_unstemmed | dbOTU3: A new implementation of distribution-based OTU calling |
title_short | dbOTU3: A new implementation of distribution-based OTU calling |
title_sort | dbotu3: a new implementation of distribution-based otu calling |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5417438/ https://www.ncbi.nlm.nih.gov/pubmed/28472072 http://dx.doi.org/10.1371/journal.pone.0176335 |
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