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Fast and sensitive taxonomic assignment to metagenomic contigs

View ORCID ProfileM. Mirdita, View ORCID ProfileM. Steinegger, View ORCID ProfileF. Breitwieser, View ORCID ProfileJ. Söding, View ORCID ProfileE. Levy Karin
doi: https://doi.org/10.1101/2020.11.27.401018
M. Mirdita
1Quantitative and Computational Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
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M. Steinegger
2School of Biological Sciences, Seoul National University, Seoul, South Korea
3Institute of Molecular Biology and Genetics, Seoul National University, Seoul, South Korea
4Artificial Intelligence Institute, Seoul National University, Seoul, South Korea
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F. Breitwieser
5Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, USA
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J. Söding
1Quantitative and Computational Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
6Campus-Institut Data Science (CIDAS), Göttingen, Germany
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E. Levy Karin
1Quantitative and Computational Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
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  • For correspondence: eli.levy.karin@gmail.com
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Summary

MMseqs2 taxonomy is a new tool to assign taxonomic labels to metagenomic contigs. It extracts all possible protein fragments from each contig, quickly retains those that can contribute to taxonomic annotation, assigns them with robust labels and determines the contig’s taxonomic identity by weighted voting. Its fragment extraction step is suitable for the analysis of all domains of life. MMseqs2 taxonomy is 2-18x faster than state-of-the-art tools and also contains new modules for creating and manipulating taxonomic reference databases as well as reporting and visualizing taxonomic assignments.

Availability MMseqs2 taxonomy is part of the MMseqs2 free open-source software package available for Linux, macOS and Windows at https://mmseqs.com.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted November 27, 2020.
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Fast and sensitive taxonomic assignment to metagenomic contigs
M. Mirdita, M. Steinegger, F. Breitwieser, J. Söding, E. Levy Karin
bioRxiv 2020.11.27.401018; doi: https://doi.org/10.1101/2020.11.27.401018
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Fast and sensitive taxonomic assignment to metagenomic contigs
M. Mirdita, M. Steinegger, F. Breitwieser, J. Söding, E. Levy Karin
bioRxiv 2020.11.27.401018; doi: https://doi.org/10.1101/2020.11.27.401018

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