T
Thibaut Jombart
Researcher at University of London
Publications - 141
Citations - 28085
Thibaut Jombart is an academic researcher from University of London. The author has contributed to research in topics: Population & Outbreak. The author has an hindex of 49, co-authored 128 publications receiving 21679 citations. Previous affiliations of Thibaut Jombart include National Institute for Health Research & Imperial College London.
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Journal ArticleDOI
adegenet: a R package for the multivariate analysis of genetic markers
TL;DR: The package adegenet for the R software is dedicated to the multivariate analysis of genetic markers by implementing formal classes and functions to manipulate and analyse genetic markers.
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Discriminant analysis of principal components: a new method for the analysis of genetically structured populations
TL;DR: The Discriminant Analysis of Principal Components (DAPC) is introduced, a multivariate method designed to identify and describe clusters of genetically related individuals that performs generally better than STRUCTURE at characterizing population subdivision.
Journal ArticleDOI
adegenet 1.3-1
Thibaut Jombart,Ismaïl Ahmed +1 more
TL;DR: New tools implemented in the adegenet 1.3-1 package for handling and analyzing genome-wide single nucleotide polymorphism (SNP) data are introduced, using a bit-level coding scheme for SNP data and parallelized computation.
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Pandemic Potential of a Strain of Influenza A (H1N1) : Early Findings
Christophe Fraser,Christl A. Donnelly,Simon Cauchemez,William P. Hanage,Maria D. Van Kerkhove,T. Déirdre Hollingsworth,Jamie T. Griffin,Rebecca F. Baggaley,Helen E. Jenkins,Emily J. Lyons,Thibaut Jombart,Wes Hinsley,Nicholas C. Grassly,Francois Balloux,Azra C. Ghani,Neil M. Ferguson,Andrew Rambaut,Oliver G. Pybus,Hugo López-Gatell,Celia Alpuche-Aranda,Ietza Bojorquez Chapela,Ethel Palacios Zavala,Dulce Ma. Espejo Guevara,Francesco Checchi,Erika Garcia,Stéphane Hugonnet,Cathy Roth +26 more
TL;DR: Transmissibility is substantially higher than that of seasonal flu, and comparable with lower estimates of R0 obtained from previous influenza pandemics, by analyzing the outbreak in Mexico, early data on international spread, and viral genetic diversity, which makes an early assessment of transmissibility and severity.
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The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study.
Kiesha Prem,Yang Liu,Timothy W Russell,Adam J. Kucharski,Rosalind M Eggo,Nicholas G Davies,Stefan Flasche,Samuel Clifford,Carl A. B. Pearson,James D Munday,Sam Abbott,Hamish Gibbs,Alicia Rosello,Billy J Quilty,Thibaut Jombart,Fiona Yueqian Sun,Charlie Diamond,Amy Gimma,Kevin van Zandvoort,Sebastian Funk,Christopher I Jarvis,W. John Edmunds,Nikos I Bosse,Joel Hellewell,Mark Jit,Petra Klepac +25 more
TL;DR: In this paper, the effects of physical distancing measures on the progression of the COVID-19 epidemic in Wuhan, China were investigated using synthetic location-specific contact patterns.