dc.contributor.author
Rabadán, Raul
dc.date.accessioned
2026-02-20T01:59:14Z
dc.date.available
2026-02-20T01:59:14Z
dc.date.issued
2022-07-07
dc.identifier
Rabadán, R. A topological data analysis perspective on viral evolution. A: Severo Ochoa Research Seminars at BSC. «Research Seminar Lectures at BSC, Barcelona, 2021-22». Barcelona: Barcelona Supercomputing Center, 2022, p. 79-80.
dc.identifier
https://hdl.handle.net/2117/455526
dc.identifier.uri
https://hdl.handle.net/2117/455526
dc.description.abstract
COVID-19 is a disease caused by a coronavirus named SARS-CoV-2. As the virus has been spreading around the world, millions of viral genomes have been sequenced. Genomes provide an accurate record of variation and evolution and can inform how these viruses emerge and evolve. In this talk I will discuss how mutations and recombinations shape SARS-CoV-2 evolution, and how topological data analysis techniques can help to understand the role of these processes in the emergence of this and other potential future pandemics.
dc.format
application/pdf
dc.publisher
Barcelona Supercomputing Center
dc.rights
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights
Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject
Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject
High performance computing
dc.subject
Càlcul intensiu (Informàtica)
dc.title
A topological data analysis perspective on viral evolution
dc.type
Conference report
