Matthieu Foll
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A genome-scan method to identify selected loci appropriate for both dominant and codominant markers: a Bayesian perspective
M Foll, O Gaggiotti
Genetics 180 (2), 977-993, 2008
Genetic consequences of range expansions
L Excoffier, M Foll, RJ Petit
Annual Review of Ecology, Evolution, and Systematics 40, 481-501, 2009
Detecting loci under selection in a hierarchically structured population
L Excoffier, T Hofer, M Foll
Heredity 103 (4), 285-298, 2009
Robust demographic inference from genomic and SNP data
L Excoffier, I Dupanloup, E Huerta-Sánchez, VC Sousa, M Foll
PLoS Genet 9 (10), e1003905, 2013
Approximate bayesian computation
M Sunnĺker, AG Busetto, E Numminen, J Corander, M Foll, C Dessimoz
PLoS Comput Biol 9 (1), e1002803, 2013
Identifying the environmental factors that determine the genetic structure of populations
M Foll, O Gaggiotti
Genetics 174 (2), 875-891, 2006
Fastsimcoal: a continuous-time coalescent simulator of genomic diversity under arbitrarily complex evolutionary scenarios
L Excoffier, M Foll
Bioinformatics 27 (9), 1332-1334, 2011
Disentangling the effects of evolutionary, demographic, and environmental factors influencing genetic structure of natural populations: Atlantic herring as a case study
OE Gaggiotti, D Bekkevold, HBH Jřrgensen, M Foll, GR Carvalho, ...
Evolution: International Journal of Organic Evolution 63 (11), 2939-2951, 2009
In defence of model‐based inference in phylogeography
MA Beaumont, R Nielsen, C Robert, J Hey, O Gaggiotti, L Knowles, ...
Molecular ecology 19 (3), 436-446, 2010
Enhanced AFLP genome scans detect local adaptation in high‐altitude populations of a small rodent (Microtus arvalis)
MC Fischer, M Foll, L Excoffier, G Heckel
Molecular Ecology 20 (7), 1450-1462, 2011
SPLATCHE2: a spatially explicit simulation framework for complex demography, genetic admixture and recombination
N Ray, M Currat, M Foll, L Excoffier
Bioinformatics 26 (23), 2993-2994, 2010
Identification of circulating tumor DNA for the early detection of small-cell lung cancer
L Fernandez-Cuesta, S Perdomo, PH Avogbe, N Leblay, TM Delhomme, ...
EBioMedicine 10, 117-123, 2016
Influenza virus drug resistance: a time-sampled population genetics perspective
M Foll, YP Poh, N Renzette, A Ferrer-Admetlla, C Bank, H Shim, ...
PLoS Genet 10 (2), e1004185, 2014
Quantifying population structure using the F‐model
OE Gaggiotti, M Foll
Molecular Ecology Resources 10 (5), 821-830, 2010
Widespread signals of convergent adaptation to high altitude in Asia and America
M Foll, OE Gaggiotti, JT Daub, A Vatsiou, L Excoffier
The American Journal of Human Genetics 95 (4), 394-407, 2014
An approximate Bayesian computation approach to overcome biases that arise when using amplified fragment length polymorphism markers to study population structure
M Foll, MA Beaumont, O Gaggiotti
Genetics 179 (2), 927-939, 2008
Thinking too positive? Revisiting current methods of population genetic selection inference
C Bank, GB Ewing, A Ferrer-Admettla, M Foll, JD Jensen
Trends in Genetics 30 (12), 540-546, 2014
Integrative genomic profiling of large-cell neuroendocrine carcinomas reveals distinct subtypes of high-grade neuroendocrine lung tumors
J George, V Walter, M Peifer, LB Alexandrov, D Seidel, F Leenders, ...
Nature communications 9 (1), 1-13, 2018
Estimating population structure from AFLP amplification intensity
M Foll, MC Fischer, G Heckel, L Excoffier
Molecular Ecology 19 (21), 4638-4647, 2010
WFABC: a W right–F isher ABC‐based approach for inferring effective population sizes and selection coefficients from time‐sampled data
M Foll, H Shim, JD Jensen
Molecular ecology resources 15 (1), 87-98, 2015
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