Influenza classification from short reads with VAPOR facilitates robust mapping pipelines and zoonotic strain detection for routine surveillance applications

MOTIVATION: Influenza viruses represent a global public health burden due to annual epidemics and pandemic potential. Due to a rapidly evolving RNA genome, inter-species transmission, intra-host variation, and noise in short-read data, reads can be lost during mapping, and de novo assembly can be ti...

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Detalles Bibliográficos
Autores principales: Southgate, Joel A, Bull, Matthew J, Brown, Clare M, Watkins, Joanne, Corden, Sally, Southgate, Benjamin, Moore, Catherine, Connor, Thomas R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703727/
https://www.ncbi.nlm.nih.gov/pubmed/31693070
http://dx.doi.org/10.1093/bioinformatics/btz814

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703727/
https://www.ncbi.nlm.nih.gov/pubmed/31693070
http://dx.doi.org/10.1093/bioinformatics/btz814

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