Reformatted data analyzed in Alamil et al. (2018)
Creators
- 1. BioSP, INRA
- 2. MRC-University of Glasgow
- 3. Pathologie Végétale, INRA
- 4. BGPI, INRA, SupAgro, Cirad
Description
Reformatted data analyzed in Alamil et al. (2018; Inferring epidemiological links from deep sequencing data: a statistical learning approach for human, animal and plant diseases). Three datasets are provided concerning swine influenza virus (reformatted from Murcia et al., 2012), Ebola (reformatted from Gire et al., 2014) and wild salsify potyvirus. Two rds files are provided for swine influenza, the first one for the naive chain, the second one for the vaccinated chain. Ebola rds files are compessed into the archive obolaRDS.zip. rds files can be loaded in the R statistical software with the command "readRDS(filename)", which returns a list. The list contains a "readme" item describing the contents of the list.
Murcia PR, Hughes J, Battista P, Lloyd L, Baillie GJ, Ramirez-Gonzalez RH, et al. Evolution of an Eurasian avian-like influenza virus in naive and vaccinated pigs. PLoS Pathogens. 2012;8(5):e1002730.
Gire SK, Goba A, Andersen KG, Sealfon RS, Park DJ, Kanneh L, et al. Genomic surveillance elucidates Ebola virus origin and transmission during the 2014 outbreak. Science. 2014;345:1369–1372
Files
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Additional details
References
- Alamil M, Hughes J., Berthier K, Desbiez C, Thébaud G Soubeyrand S (2018) Inferring epidemiological links from deep sequencing data: a statistical learning approach for human, animal and plant diseases. Technical Report, BioSP, INRA, Avignon.
- Murcia PR, Hughes J, Battista P, Lloyd L, Baillie GJ, Ramirez-Gonzalez RH, et al. Evolution of an Eurasian avian-like influenza virus in naive and vaccinated pigs. PLoS Pathogens. 2012;8(5):e1002730.
- Gire SK, Goba A, Andersen KG, Sealfon RS, Park DJ, Kanneh L, et al. Genomic surveillance elucidates Ebola virus origin and transmission during the 2014 outbreak. Science. 2014;345:1369–1372