G. Guillot

发表

Analysing georeferenced population genetics data with Geneland: a new algorithm to deal with null alleles and a friendly graphical user interface

Arnaud Estoup, Filipe Santos, Gilles Guillot, 2008, Bioinform..

Disaggregation of Sahelian mesoscale convective system rain fields : Further developments and validation

T. Lebel, G. Guillot, 1999 .

Bayesian Clustering Using Hidden Markov Random Fields in Spatial Population Genetics

Sophie Ancelet, Gilles Guillot, O. François, 2006, Genetics.

A unifying model for the analysis of phenotypic, genetic, and geographic data.

G. Guillot, S. Renaud, Ronan Ledevin, 2011, Systematic biology.

Dismantling the Mantel tests

Gilles Guillot, F. Rousset, G. Guillot, 2011, 1112.0651.

Geneland: a computer package for landscape genetics

Arnaud Estoup, Frédéric Mortier, Gilles Guillot, 2005 .

Using AFLP markers and the Geneland program for the inference of population genetic structure

G. Guillot, Filipe Santos, 2010, Molecular ecology resources.

Clustering geostatistical data

D. Allard, G. Guillot, D. ALLARD, 2000 .

Population dynamics of species‐rich ecosystems: the mixture of matrix population models approach

N. Picard, F. Mortier, Vivien Rossi, 2013 .

Statistical methods in spatial genetics

AURÉLIE COULON, G. Guillot, A. Coulon, 2009, Molecular ecology.

Genetic structure is influenced by landscape features: empirical evidence from a roe deer population

A Coulon, S. Aulagnier, G. Guillot, 2006, Molecular ecology.

Gibbs sampling for conditional spatial disaggregation of rain fields

Gilles Guillot, Thierry Lebel, Abel Afouda, 2004 .

Hidden markov random fields and the genetic structure of the scandinavian brown bear population

O. François, G. Guillot, S. Ancelet, 2007 .

Latitudinal variation in climate‐associated genes imperils range edge populations

P. Unmack, L. Bernatchez, G. Guillot, 2020, Molecular ecology.

Enhancing and comparing methods for the detection of fishing activity from Vessel Monitoring System data

V. Bartolino, G. Guillot, Savvas Kinalis, 2017, 1708.09663.

Population genetics analysis using R and the Geneland program

G. Guillot, Filipe Santos, A. Estoup, 2011 .

Splendor and misery of indirect measures of migration and gene flow

G. Guillot, 2011, Heredity.

On the Informativeness of Dominant and Co-Dominant Genetic Markers for Bayesian Supervised Clustering

G. Guillot, Alexandra Carpentier-Skandalis, 2011, 1112.2868.

Inference of a hidden spatial tessellation from multivariate data: application to the delineation of homogeneous regions in an agricultural field

Joel Michelin, Philippe Huet, Gilles Guillot, 2006 .

Accurate continuous geographic assignment from low- to high-density SNP data

Gilles Guillot, Ludovic Orlando, Antoine Hinge, 2016, Bioinform..

Inference of structure in subdivided populations at low levels of genetic differentiation - the correlated allele frequencies model revisited

Gilles Guillot, G. Guillot, 2008, Bioinform..

Enhanced computational methods for quantifying the effect of geographic and environmental isolation on genetic differentiation

Gilles Guillot, Casper T. Eriksen, G. Guillot, 2015 .

A computer program to simulate multilocus genotype data with spatially autocorrelated allele frequencies

Gilles Guillot, G. Guillot, Filipe Santos, 2009, Molecular ecology resources.

Response to comment on 'On the inference of spatial structure from population genetics data'

Gilles Guillot, G. Guillot, 2009, Bioinform..

Correcting for ascertainment bias in the inference of population structure

Matthieu Foll, Gilles Guillot, G. Guillot, 2009, Bioinform..

Population substructure in Finland and Sweden revealed by the use of spatial coordinates and a small number of unlinked autosomal SNPs

Gilles Guillot, Elina Salmela, Juha Kere, 2008, BMC Genetics.

A genomewide catalogue of single nucleotide polymorphisms in white‐beaked and Atlantic white‐sided dolphins

U. Siebert, L. Orlando, W. Dabin, 2016, Molecular ecology resources.

A Positive Definite Estimator of the Non Stationary Covariance of Random Fields

Gilles Guillot, P. Monestiez, R. Senoussi, 2001 .

Spatial prediction of weed intensities from exact count data and image‐based estimates

Niklas Lorén, Gilles Guillot, Mats Rudemo, 2009 .

Detecting correlation between allele frequencies and environmental variables as a signature of selection. A fast computational approach for genome-wide studies

Renaud Vitalis, Mathieu Gautier, Gilles Guillot, 2014 .

Spatial models for probabilistic prediction of wind power with application to annual-average and high temporal resolution data

Pierre Pinson, Amanda Lenzi, Gilles Guillot, 2017, Stochastic Environmental Research and Risk Assessment.

On the use of the simple and partial Mantel tests in presence of spatial auto-correlation

F. Rousset, G. Guillot, 2011 .

Estimating the location and shape of hybrid zones

Benjamin Guedj, G. Guillot, 2011, Molecular ecology resources.

Approximation of Sahelian rainfall fields with meta-Gaussian random functions

T. Lebel, G. Guillot, T. Lebel, 1999 .

Approximation of Sahelian Rainfall Elds with Meta-gaussian Random Functions, 1 : Model Deenition and Methodology

G. Guillot, 1999 .

Accurate continuous geographic assignment from low- to high-density SNP data

L. Orlando, G. Guillot, Antoine Hinge, 2016, Bioinform..

Using AFLP markers and the Geneland program for the inference of population genetic structure

G. Guillot, Filipe Santos, 2010, Molecular ecology resources.

A primer on survival data analysis in presence of competing risks.

G. Guillot, 2020 .

Enhanced computational methods for quantifying the effect of geographic and environmental isolation on genetic differentiation

Casper T. Eriksen, G. Guillot, M. Fontaine, 2015 .

A computer program to simulate multilocus genotype data with spatially autocorrelated allele frequencies

G. Guillot, Filipe Santos, 2009, Molecular ecology resources.

Correcting for ascertainment bias in the inference of population structure

G. Guillot, M. Foll, 2009, Bioinform..