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 | 2971 | 2008 |
Robust demographic inference from genomic and SNP data L Excoffier, I Dupanloup, E Huerta-Sánchez, VC Sousa, M Foll PLoS genetics 9 (10), e1003905, 2013 | 1420 | 2013 |
Genetic consequences of range expansions L Excoffier, M Foll, RJ Petit Annual Review of Ecology, Evolution, and Systematics 40 (1), 481-501, 2009 | 1400 | 2009 |
Detecting loci under selection in a hierarchically structured population L Excoffier, T Hofer, M Foll Heredity 103 (4), 285-298, 2009 | 935 | 2009 |
Prediction of acute myeloid leukaemia risk in healthy individuals S Abelson, G Collord, SWK Ng, O Weissbrod, N Mendelson Cohen, ... Nature 559 (7714), 400-404, 2018 | 848 | 2018 |
Approximate bayesian computation M Sunnĺker, AG Busetto, E Numminen, J Corander, M Foll, C Dessimoz PLoS computational biology 9 (1), e1002803, 2013 | 748 | 2013 |
Fastsimcoal: a continuous-time coalescent simulator of genomic diversity under arbitrarily complex evolutionary scenarios L Excoffier, M Foll Bioinformatics 27 (9), 1332-1334, 2011 | 438 | 2011 |
Identifying the environmental factors that determine the genetic structure of populations M Foll, O Gaggiotti Genetics 174 (2), 875-891, 2006 | 421 | 2006 |
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), 1048, 2018 | 318 | 2018 |
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 63 (11), 2939-2951, 2009 | 269 | 2009 |
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 | 210 | 2016 |
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 | 198 | 2010 |
Linking a mutation to survival in wild mice RDH Barrett, S Laurent, R Mallarino, SP Pfeifer, CCY Xu, M Foll, ... Science 363 (6426), 499-504, 2019 | 195 | 2019 |
Molecular subtypes of pulmonary large-cell neuroendocrine carcinoma predict chemotherapy treatment outcome JL Derks, N Leblay, E Thunnissen, RJ Van Suylen, M den Bakker, ... Clinical Cancer Research 24 (1), 33-42, 2018 | 195 | 2018 |
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 | 180 | 2011 |
Integrative and comparative genomic analyses identify clinically relevant pulmonary carcinoid groups and unveil the supra-carcinoids N Alcala, N Leblay, AAG Gabriel, L Mangiante, D Hervás, T Giffon, ... Nature communications 10 (1), 3407, 2019 | 166 | 2019 |
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 | 165 | 2014 |
EURACAN/IASLC proposals for updating the histologic classification of pleural mesothelioma: towards a more multidisciplinary approach AG Nicholson, JL Sauter, AK Nowak, HL Kindler, RR Gill, M Remy-Jardin, ... Journal of Thoracic Oncology 15 (1), 29-49, 2020 | 162 | 2020 |
Influenza virus drug resistance: a time-sampled population genetics perspective M Foll, YP Poh, N Renzette, A Ferrer-Admetlla, C Bank, H Shim, ... PLoS genetics 10 (2), e1004185, 2014 | 146 | 2014 |
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 | 145 | 2010 |