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An evaluation of the accuracy and speed of metagenome analysis tools
Metagenome studies are becoming increasingly widespread, yielding important insights into microbial communities covering diverse environments from terrestrial and aquatic ecosystems to human skin and gut. With the advent of high-throughput sequencing platforms, the use of large scale shotgun sequenc...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726098/ https://www.ncbi.nlm.nih.gov/pubmed/26778510 http://dx.doi.org/10.1038/srep19233 |
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author | Lindgreen, Stinus Adair, Karen L. Gardner, Paul P. |
author_facet | Lindgreen, Stinus Adair, Karen L. Gardner, Paul P. |
author_sort | Lindgreen, Stinus |
collection | PubMed |
description | Metagenome studies are becoming increasingly widespread, yielding important insights into microbial communities covering diverse environments from terrestrial and aquatic ecosystems to human skin and gut. With the advent of high-throughput sequencing platforms, the use of large scale shotgun sequencing approaches is now commonplace. However, a thorough independent benchmark comparing state-of-the-art metagenome analysis tools is lacking. Here, we present a benchmark where the most widely used tools are tested on complex, realistic data sets. Our results clearly show that the most widely used tools are not necessarily the most accurate, that the most accurate tool is not necessarily the most time consuming, and that there is a high degree of variability between available tools. These findings are important as the conclusions of any metagenomics study are affected by errors in the predicted community composition and functional capacity. Data sets and results are freely available from http://www.ucbioinformatics.org/metabenchmark.html |
format | Online Article Text |
id | pubmed-4726098 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47260982016-01-27 An evaluation of the accuracy and speed of metagenome analysis tools Lindgreen, Stinus Adair, Karen L. Gardner, Paul P. Sci Rep Article Metagenome studies are becoming increasingly widespread, yielding important insights into microbial communities covering diverse environments from terrestrial and aquatic ecosystems to human skin and gut. With the advent of high-throughput sequencing platforms, the use of large scale shotgun sequencing approaches is now commonplace. However, a thorough independent benchmark comparing state-of-the-art metagenome analysis tools is lacking. Here, we present a benchmark where the most widely used tools are tested on complex, realistic data sets. Our results clearly show that the most widely used tools are not necessarily the most accurate, that the most accurate tool is not necessarily the most time consuming, and that there is a high degree of variability between available tools. These findings are important as the conclusions of any metagenomics study are affected by errors in the predicted community composition and functional capacity. Data sets and results are freely available from http://www.ucbioinformatics.org/metabenchmark.html Nature Publishing Group 2016-01-18 /pmc/articles/PMC4726098/ /pubmed/26778510 http://dx.doi.org/10.1038/srep19233 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Lindgreen, Stinus Adair, Karen L. Gardner, Paul P. An evaluation of the accuracy and speed of metagenome analysis tools |
title | An evaluation of the accuracy and speed of metagenome analysis tools |
title_full | An evaluation of the accuracy and speed of metagenome analysis tools |
title_fullStr | An evaluation of the accuracy and speed of metagenome analysis tools |
title_full_unstemmed | An evaluation of the accuracy and speed of metagenome analysis tools |
title_short | An evaluation of the accuracy and speed of metagenome analysis tools |
title_sort | evaluation of the accuracy and speed of metagenome analysis tools |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726098/ https://www.ncbi.nlm.nih.gov/pubmed/26778510 http://dx.doi.org/10.1038/srep19233 |
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