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CCMetagen: comprehensive and accurate identification of eukaryotes and prokaryotes in metagenomic data

There is an increasing demand for accurate and fast metagenome classifiers that can not only identify bacteria, but all members of a microbial community. We used a recently developed concept in read mapping to develop a highly accurate metagenomic classification pipeline named CCMetagen. The pipelin...

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Autores principales: Marcelino, Vanessa R., Clausen, Philip T. L. C., Buchmann, Jan P., Wille, Michelle, Iredell, Jonathan R., Meyer, Wieland, Lund, Ole, Sorrell, Tania C., Holmes, Edward C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7189439/
https://www.ncbi.nlm.nih.gov/pubmed/32345331
http://dx.doi.org/10.1186/s13059-020-02014-2
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author Marcelino, Vanessa R.
Clausen, Philip T. L. C.
Buchmann, Jan P.
Wille, Michelle
Iredell, Jonathan R.
Meyer, Wieland
Lund, Ole
Sorrell, Tania C.
Holmes, Edward C.
author_facet Marcelino, Vanessa R.
Clausen, Philip T. L. C.
Buchmann, Jan P.
Wille, Michelle
Iredell, Jonathan R.
Meyer, Wieland
Lund, Ole
Sorrell, Tania C.
Holmes, Edward C.
author_sort Marcelino, Vanessa R.
collection PubMed
description There is an increasing demand for accurate and fast metagenome classifiers that can not only identify bacteria, but all members of a microbial community. We used a recently developed concept in read mapping to develop a highly accurate metagenomic classification pipeline named CCMetagen. The pipeline substantially outperforms other commonly used software in identifying bacteria and fungi and can efficiently use the entire NCBI nucleotide collection as a reference to detect species with incomplete genome data from all biological kingdoms. CCMetagen is user-friendly, and the results can be easily integrated into microbial community analysis software for streamlined and automated microbiome studies.
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spelling pubmed-71894392020-04-30 CCMetagen: comprehensive and accurate identification of eukaryotes and prokaryotes in metagenomic data Marcelino, Vanessa R. Clausen, Philip T. L. C. Buchmann, Jan P. Wille, Michelle Iredell, Jonathan R. Meyer, Wieland Lund, Ole Sorrell, Tania C. Holmes, Edward C. Genome Biol Software There is an increasing demand for accurate and fast metagenome classifiers that can not only identify bacteria, but all members of a microbial community. We used a recently developed concept in read mapping to develop a highly accurate metagenomic classification pipeline named CCMetagen. The pipeline substantially outperforms other commonly used software in identifying bacteria and fungi and can efficiently use the entire NCBI nucleotide collection as a reference to detect species with incomplete genome data from all biological kingdoms. CCMetagen is user-friendly, and the results can be easily integrated into microbial community analysis software for streamlined and automated microbiome studies. BioMed Central 2020-04-28 /pmc/articles/PMC7189439/ /pubmed/32345331 http://dx.doi.org/10.1186/s13059-020-02014-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Software
Marcelino, Vanessa R.
Clausen, Philip T. L. C.
Buchmann, Jan P.
Wille, Michelle
Iredell, Jonathan R.
Meyer, Wieland
Lund, Ole
Sorrell, Tania C.
Holmes, Edward C.
CCMetagen: comprehensive and accurate identification of eukaryotes and prokaryotes in metagenomic data
title CCMetagen: comprehensive and accurate identification of eukaryotes and prokaryotes in metagenomic data
title_full CCMetagen: comprehensive and accurate identification of eukaryotes and prokaryotes in metagenomic data
title_fullStr CCMetagen: comprehensive and accurate identification of eukaryotes and prokaryotes in metagenomic data
title_full_unstemmed CCMetagen: comprehensive and accurate identification of eukaryotes and prokaryotes in metagenomic data
title_short CCMetagen: comprehensive and accurate identification of eukaryotes and prokaryotes in metagenomic data
title_sort ccmetagen: comprehensive and accurate identification of eukaryotes and prokaryotes in metagenomic data
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7189439/
https://www.ncbi.nlm.nih.gov/pubmed/32345331
http://dx.doi.org/10.1186/s13059-020-02014-2
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