A GPU-accelerated compute framework for pathogen genomic variant identification to aid genomic epidemiology of infectious disease: a malaria case study

As recently demonstrated by the COVID-19 pandemic, large-scale pathogen genomic data are crucial to characterize transmission patterns of human infectious diseases. Yet, current methods to process raw sequence data into analysis-ready variants remain slow to scale, hampering rapid surveillance effor...

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Detalles Bibliográficos
Autores principales: Carpi, Giovanna, Gorenstein, Lev, Harkins, Timothy T, Samadi, Mehrzad, Vats, Pankaj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Case Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487672/
https://www.ncbi.nlm.nih.gov/pubmed/35945154
http://dx.doi.org/10.1093/bib/bbac314

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487672/
https://www.ncbi.nlm.nih.gov/pubmed/35945154
http://dx.doi.org/10.1093/bib/bbac314

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