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Assessing taxonomic metagenome profilers with OPAL

The explosive growth in taxonomic metagenome profiling methods over the past years has created a need for systematic comparisons using relevant performance criteria. The Open-community Profiling Assessment tooL (OPAL) implements commonly used performance metrics, including those of the first challen...

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Autores principales: Meyer, Fernando, Bremges, Andreas, Belmann, Peter, Janssen, Stefan, McHardy, Alice C., Koslicki, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6398228/
https://www.ncbi.nlm.nih.gov/pubmed/30832730
http://dx.doi.org/10.1186/s13059-019-1646-y
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author Meyer, Fernando
Bremges, Andreas
Belmann, Peter
Janssen, Stefan
McHardy, Alice C.
Koslicki, David
author_facet Meyer, Fernando
Bremges, Andreas
Belmann, Peter
Janssen, Stefan
McHardy, Alice C.
Koslicki, David
author_sort Meyer, Fernando
collection PubMed
description The explosive growth in taxonomic metagenome profiling methods over the past years has created a need for systematic comparisons using relevant performance criteria. The Open-community Profiling Assessment tooL (OPAL) implements commonly used performance metrics, including those of the first challenge of the initiative for the Critical Assessment of Metagenome Interpretation (CAMI), together with convenient visualizations. In addition, we perform in-depth performance comparisons with seven profilers on datasets of CAMI and the Human Microbiome Project. OPAL is freely available at https://github.com/CAMI-challenge/OPAL. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1646-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-63982282019-03-13 Assessing taxonomic metagenome profilers with OPAL Meyer, Fernando Bremges, Andreas Belmann, Peter Janssen, Stefan McHardy, Alice C. Koslicki, David Genome Biol Software The explosive growth in taxonomic metagenome profiling methods over the past years has created a need for systematic comparisons using relevant performance criteria. The Open-community Profiling Assessment tooL (OPAL) implements commonly used performance metrics, including those of the first challenge of the initiative for the Critical Assessment of Metagenome Interpretation (CAMI), together with convenient visualizations. In addition, we perform in-depth performance comparisons with seven profilers on datasets of CAMI and the Human Microbiome Project. OPAL is freely available at https://github.com/CAMI-challenge/OPAL. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1646-y) contains supplementary material, which is available to authorized users. BioMed Central 2019-03-04 /pmc/articles/PMC6398228/ /pubmed/30832730 http://dx.doi.org/10.1186/s13059-019-1646-y Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Meyer, Fernando
Bremges, Andreas
Belmann, Peter
Janssen, Stefan
McHardy, Alice C.
Koslicki, David
Assessing taxonomic metagenome profilers with OPAL
title Assessing taxonomic metagenome profilers with OPAL
title_full Assessing taxonomic metagenome profilers with OPAL
title_fullStr Assessing taxonomic metagenome profilers with OPAL
title_full_unstemmed Assessing taxonomic metagenome profilers with OPAL
title_short Assessing taxonomic metagenome profilers with OPAL
title_sort assessing taxonomic metagenome profilers with opal
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6398228/
https://www.ncbi.nlm.nih.gov/pubmed/30832730
http://dx.doi.org/10.1186/s13059-019-1646-y
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