Molecular Biology and EvolutionBioinformaticsPeer-reviewed journal article
A daily-updated database and tools for comprehensive SARS-CoV-2 mutation-annotated trees
Jakob McBroomeiD, Bryan P. ThornlowiD, Angie S. HinrichsiD, Alexander KrämeriD, Nicola De MaioiD, Nick GoldmaniD, David H. HaussleriD, Russell B Corbett-DetigiD, Yatish TurakhiaiD
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.
- organism: virus
- assay: whole-genome sequencing
- research focus: phylogenetics / evolution
- research focus: database / resource
- research focus: software / tool
- approach: statistical model
- Citations
- 106
- FWCI
- 5.46
- Field percentile
- top 3%
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