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Inferring phylogenies from pandemic-scale genome datasets
Reconstructing phylogenetic trees from large collections of genome sequences is a computationally challenging task. We developed MAPLE, a method for performing phylogenetic inference on large numbers of closely related genomes, which might be useful when studying the evolution and spread of SARS-CoV...
| Formato: | Online Artículo Texto |
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| Lenguaje: | English |
| Publicado: |
Nature Publishing Group US
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10092920/ https://www.ncbi.nlm.nih.gov/pubmed/37045912 http://dx.doi.org/10.1038/s41588-023-01370-6 |
| _version_ | 1785023460694556672 |
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| collection | PubMed |
| description | Reconstructing phylogenetic trees from large collections of genome sequences is a computationally challenging task. We developed MAPLE, a method for performing phylogenetic inference on large numbers of closely related genomes, which might be useful when studying the evolution and spread of SARS-CoV-2 and of infectious pathogens in future pandemics. |
| format | Online Article Text |
| id | pubmed-10092920 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Nature Publishing Group US |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-100929202023-04-14 Inferring phylogenies from pandemic-scale genome datasets Nat Genet Research Briefing Reconstructing phylogenetic trees from large collections of genome sequences is a computationally challenging task. We developed MAPLE, a method for performing phylogenetic inference on large numbers of closely related genomes, which might be useful when studying the evolution and spread of SARS-CoV-2 and of infectious pathogens in future pandemics. Nature Publishing Group US 2023-04-12 2023 /pmc/articles/PMC10092920/ /pubmed/37045912 http://dx.doi.org/10.1038/s41588-023-01370-6 Text en © Springer Nature America, Inc. 2023 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
| spellingShingle | Research Briefing Inferring phylogenies from pandemic-scale genome datasets |
| title | Inferring phylogenies from pandemic-scale genome datasets |
| title_full | Inferring phylogenies from pandemic-scale genome datasets |
| title_fullStr | Inferring phylogenies from pandemic-scale genome datasets |
| title_full_unstemmed | Inferring phylogenies from pandemic-scale genome datasets |
| title_short | Inferring phylogenies from pandemic-scale genome datasets |
| title_sort | inferring phylogenies from pandemic-scale genome datasets |
| topic | Research Briefing |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10092920/ https://www.ncbi.nlm.nih.gov/pubmed/37045912 http://dx.doi.org/10.1038/s41588-023-01370-6 |