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A daily-updated database and tools for comprehensive SARS-CoV-2 mutation-annotated trees

Jakob McBroome, View ORCID ProfileBryan Thornlow, Angie S. Hinrichs, View ORCID ProfileNicola De Maio, Nick Goldman, David Haussler, Russell Corbett-Detig, View ORCID ProfileYatish Turakhia
doi: https://doi.org/10.1101/2021.04.03.438321
Jakob McBroome
1Department of Biomolecular Engineering, University of California Santa Cruz. Santa Cruz, CA 95064, USA
2Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
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Bryan Thornlow
1Department of Biomolecular Engineering, University of California Santa Cruz. Santa Cruz, CA 95064, USA
2Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
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Angie S. Hinrichs
2Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
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Nicola De Maio
3European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge CB10 1SD, UK
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Nick Goldman
3European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge CB10 1SD, UK
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David Haussler
1Department of Biomolecular Engineering, University of California Santa Cruz. Santa Cruz, CA 95064, USA
2Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
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Russell Corbett-Detig
1Department of Biomolecular Engineering, University of California Santa Cruz. Santa Cruz, CA 95064, USA
2Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
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  • For correspondence: [email protected] [email protected]
Yatish Turakhia
1Department of Biomolecular Engineering, University of California Santa Cruz. Santa Cruz, CA 95064, USA
2Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
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  • ORCID record for Yatish Turakhia
  • For correspondence: [email protected] [email protected]
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Abstract

The vast scale of SARS-CoV-2 sequencing data has made it increasingly challenging to comprehensively analyze all available data using existing tools and file formats. To address this, we present a database of SARS-CoV-2 phylogenetic trees inferred with unrestricted public sequences, which we update daily to incorporate new sequences. Our database uses the recently-proposed mutation-annotated tree (MAT) format to efficiently encode the tree with branches labeled with parsimony-inferred mutations as well as Nextstrain clade and Pango lineage labels at clade roots. As of June 9, 2021, our SARS-CoV-2 MAT consists of 834,521 sequences and provides a comprehensive view of the virus’ evolutionary history using public data. We also present matUtils – a command-line utility for rapidly querying, interpreting and manipulating the MATs. Our daily-updated SARS-CoV-2 MAT database and matUtils software are available at http://hgdownload.soe.ucsc.edu/goldenPath/wuhCor1/UShER_SARS-CoV-2/ and https://github.com/yatisht/usher, respectively.

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 July 13, 2021.
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A daily-updated database and tools for comprehensive SARS-CoV-2 mutation-annotated trees
Jakob McBroome, Bryan Thornlow, Angie S. Hinrichs, Nicola De Maio, Nick Goldman, David Haussler, Russell Corbett-Detig, Yatish Turakhia
bioRxiv 2021.04.03.438321; doi: https://doi.org/10.1101/2021.04.03.438321
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A daily-updated database and tools for comprehensive SARS-CoV-2 mutation-annotated trees
Jakob McBroome, Bryan Thornlow, Angie S. Hinrichs, Nicola De Maio, Nick Goldman, David Haussler, Russell Corbett-Detig, Yatish Turakhia
bioRxiv 2021.04.03.438321; doi: https://doi.org/10.1101/2021.04.03.438321

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