학술논문

A Daily-Updated Database and Tools for Comprehensive SARS-CoV-2 Mutation-Annotated Trees
Document Type
article
Source
Molecular Biology and Evolution. 38(12)
Subject
Biological Sciences
Bioinformatics and Computational Biology
Evolutionary Biology
Genetics
Vaccine Related
Emerging Infectious Diseases
COVID-19
Evolution
Molecular
Humans
Mutation
Phylogeny
SARS-CoV-2
Software
SARS-CoV-2 phylogenetics
genomic surveillance
Biochemistry and Cell Biology
Biochemistry and cell biology
Evolutionary biology
Language
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.