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Dataset . 2018
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ZENODO
Dataset . 2018
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ZENODO
Dataset . 2018
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ZENODO
Dataset . 2018
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ZENODO
Dataset . 2018
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ZENODO
Dataset . 2018
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ZENODO
Dataset . 2018
License: CC BY
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ZENODO
Dataset . 2018
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Reformatted Data Analyzed In Alamil Et Al. (2018)

Authors: Maryam Alamil; Joseph Hughes; Karine Berthier; Cécile Desbiez; Gaël Thébaud; Samuel Soubeyrand;

Reformatted Data Analyzed In Alamil Et Al. (2018)

Abstract

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). The datasets that are provided concern swine influenza virus (reformatted from Murcia et al., 2012), Ebola virus (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 compressed into the archive ebolaRDS.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, as well as a "host.table" item providing metadata about host units and a "set.of.sequences" item providing sequencing data formatted in numeric matrices. R codes are also provided to run analyses proposed by Alamil et al. (2018), namely functions.R that contains R functions required for computations, and influenza.R, ebola.R and potyvirus.R where the analyses are implemented for each case study. 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

{"references": ["Alamil M, Hughes J., Berthier K, Desbiez C, Th\u00e9baud 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\u20131372"]}

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Keywords

swine influenza, wild salsify potyvirus, infectious disease, within-host pathogen diversity, Ebola, pathogen spread, transmission trees

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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