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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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SLAFEEL: R scripts and reformatted data analyzed by Alamil et al. (2019)

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

SLAFEEL: R scripts and reformatted data analyzed by Alamil et al. (2019)

Abstract

SLAFEEL: Statistical Learning Approach For Estimating Epidemiological Links from deep sequencing data This archive contains R scripts for running analyses proposed by Alamil et al. (2019; Inferring epidemiological links from deep sequencing data: a statistical learning approach for human, animal and plant diseases), namely - functions.R that contains R functions required for computations, - influenza.R, ebola.R and potyvirus.R where the analyses are implemented for each case study, and - influenza-format-genomic-data.R giving an example of how to format data to be used in the statistical learning approach. This archive also contains the reformatted data analyzed by Alamil et al. (2019). The datasets that are provided concern swine influenza virus (reformatted from Murcia et al., 2012), Ebola virus (reformatted from Gire et al., 2014) and a 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. 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 Funded by the ANR - Project name: SMITID (2016-2020) - Grant number: ANR-16-CE35-0006

{"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.
BIP!Impulse provided by BIP!
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