Suivre
Thibault Latrille
Thibault Latrille
Postdoctoral fellow, Université de Lausanne
Adresse e-mail validée de unil.ch - Page d'accueil
Titre
Citée par
Citée par
Année
The Red Queen model of recombination hot-spot evolution: a theoretical investigation
T Latrille, L Duret, N Lartillot
Philosophical Transactions of the Royal Society B: Biological Sciences 372 …, 2017
402017
Inferring long-term effective population size with mutation–selection models
T Latrille, V Lanore, N Lartillot
Molecular Biology and Evolution 38 (10), 4573-4587, 2021
92021
Genes and sites under adaptation at the phylogenetic scale also exhibit adaptation at the population-genetic scale
T Latrille, N Rodrigue, N Lartillot
Proceedings of the National Academy of Sciences 120 (11), e2214977120, 2023
82023
A Bayesian mutation–selection framework for detecting site-specific adaptive evolution in protein-coding genes
N Rodrigue, T Latrille, N Lartillot
Molecular biology and evolution 38 (3), 1199-1208, 2021
82021
An improved codon modeling approach for accurate estimation of the mutation bias
T Latrille, N Lartillot
Molecular Biology and Evolution 39 (2), msac005, 2022
42022
Quantifying the impact of changes in effective population size and expression level on the rate of coding sequence evolution
T Latrille, N Lartillot
Theoretical Population Biology 142, 57-66, 2021
32021
Mammalian protein-coding genes exhibit widespread beneficial mutations that are not adaptive
T Latrille, J Joseph, DA Hartasanchez, N Salamin
bioRxiv, 2023.05. 03.538864, 2023
22023
Bridging time scales in evolutionary biology
DA Hartasánchez, T Latrille, M Brasó-Vives, A Navarro
12022
Gene expression is the main driver of purifying selection in large penguin populations
E Trucchi, P Massa, F Giannelli, T Latrille, FAN Fernandes, L Ancona, ...
bioRxiv, 2023.08. 08.552445, 2023
2023
Detecting diversifying selection for a trait from within and between-species genotypes and phenotypes
T Latrille, M Bastian, T Gaboriau, N Salamin
bioRxiv, 2023.10. 02.559886, 2023
2023
Improved estimation of molecular evolution coupling stochastic simulations and deep learning
D Silvestro, T Latrille, N Salamin
bioRxiv, 2023.09. 08.556821, 2023
2023
Modelling the articulation of selective and neutral mechanisms in the evolution of protein-coding DNA sequences
T Latrille
Université de Lyon, 2020
2020
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–12