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Pandemic-scale phylogenetics
Phylogenetics has been central to the genomic surveillance, epidemiology and contact tracing efforts during the COVD-19 pandemic. But the massive scale of genomic sequencing has rendered the pre-pandemic tools inadequate for comprehensive phylogenetic analyses. Here, we discuss the phylogenetic pack...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8679213/ https://www.ncbi.nlm.nih.gov/pubmed/34927180 http://dx.doi.org/10.1101/2021.12.03.470766 |
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author | Ye, Cheng Thornlow, Bryan Kramer, Alexander McBroome, Jakob Hinrichs, Angie Corbett-Detig, Russell Turakhia, Yatish |
author_facet | Ye, Cheng Thornlow, Bryan Kramer, Alexander McBroome, Jakob Hinrichs, Angie Corbett-Detig, Russell Turakhia, Yatish |
author_sort | Ye, Cheng |
collection | PubMed |
description | Phylogenetics has been central to the genomic surveillance, epidemiology and contact tracing efforts during the COVD-19 pandemic. But the massive scale of genomic sequencing has rendered the pre-pandemic tools inadequate for comprehensive phylogenetic analyses. Here, we discuss the phylogenetic package that we developed to address the needs imposed by this pandemic. The package incorporates several pandemic-specific optimization and parallelization techniques and comprises four programs: UShER, matOptimize, RIPPLES and matUtils. Using high-performance computing, UShER and matOptimize maintain and refine daily a massive mutation-annotated phylogenetic tree consisting of all SARS-CoV-2 sequences available in online repositories. With UShER and RIPPLES, individual labs – even with modest compute resources – incorporate newly-sequenced SARS-CoV-2 genomes on this phylogeny and discover evidence for recombination in real-time. With matUtils, they rapidly query and visualize massive SARS-CoV-2 phylogenies. These tools have empowered scientists worldwide to study the SARS-CoV-2 evolution and transmission at an unprecedented scale, resolution and speed. |
format | Online Article Text |
id | pubmed-8679213 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-86792132021-12-18 Pandemic-scale phylogenetics Ye, Cheng Thornlow, Bryan Kramer, Alexander McBroome, Jakob Hinrichs, Angie Corbett-Detig, Russell Turakhia, Yatish bioRxiv Article Phylogenetics has been central to the genomic surveillance, epidemiology and contact tracing efforts during the COVD-19 pandemic. But the massive scale of genomic sequencing has rendered the pre-pandemic tools inadequate for comprehensive phylogenetic analyses. Here, we discuss the phylogenetic package that we developed to address the needs imposed by this pandemic. The package incorporates several pandemic-specific optimization and parallelization techniques and comprises four programs: UShER, matOptimize, RIPPLES and matUtils. Using high-performance computing, UShER and matOptimize maintain and refine daily a massive mutation-annotated phylogenetic tree consisting of all SARS-CoV-2 sequences available in online repositories. With UShER and RIPPLES, individual labs – even with modest compute resources – incorporate newly-sequenced SARS-CoV-2 genomes on this phylogeny and discover evidence for recombination in real-time. With matUtils, they rapidly query and visualize massive SARS-CoV-2 phylogenies. These tools have empowered scientists worldwide to study the SARS-CoV-2 evolution and transmission at an unprecedented scale, resolution and speed. Cold Spring Harbor Laboratory 2021-12-06 /pmc/articles/PMC8679213/ /pubmed/34927180 http://dx.doi.org/10.1101/2021.12.03.470766 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Ye, Cheng Thornlow, Bryan Kramer, Alexander McBroome, Jakob Hinrichs, Angie Corbett-Detig, Russell Turakhia, Yatish Pandemic-scale phylogenetics |
title | Pandemic-scale phylogenetics |
title_full | Pandemic-scale phylogenetics |
title_fullStr | Pandemic-scale phylogenetics |
title_full_unstemmed | Pandemic-scale phylogenetics |
title_short | Pandemic-scale phylogenetics |
title_sort | pandemic-scale phylogenetics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8679213/ https://www.ncbi.nlm.nih.gov/pubmed/34927180 http://dx.doi.org/10.1101/2021.12.03.470766 |
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