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pro vyhledávání: '"Eric Frichot"'
Publikováno v:
Molecular Biology and Evolution
Molecular Biology and Evolution, Oxford University Press (OUP), 2013, 30 (7), pp.1687-99. ⟨10.1093/molbev/mst063⟩
Molecular Biology and Evolution, Oxford University Press (OUP), 2013, 30 (7), pp.1687-99. ⟨10.1093/molbev/mst063⟩
Adaptation to local environments often occurs through natural selection acting on a large number of loci, each having a weak phenotypic effect. One way to detect these loci is to identify genetic polymorphisms that exhibit high correlation with envir
Autor:
Eric Frichot, Olivier François
Publikováno v:
Methods in Ecology and Evolution
Methods in Ecology and Evolution, Wiley, 2015, 6 (8), pp.925-929
Methods in Ecology and Evolution, Wiley, 2015, 6 (8), pp.925-929
Summary 1 Based on population genomic and environmental data, genomewide ecological association studies aim at detecting allele frequencies that exhibit significant statistical association with ecological gradients. Ecological association studies can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c770dbbeab97c4fb5fd5bcc26dd0c295
https://hal.archives-ouvertes.fr/hal-02004815
https://hal.archives-ouvertes.fr/hal-02004815
Publikováno v:
Heredity
Heredity, Nature Publishing Group, 2015, 115 (1), pp.22-28
Heredity, Nature Publishing Group, 2015, 115 (1), pp.22-28
OEG was supported by the Marine Alliance for Science and Technology for Scotland (MASTS). Population genetic signatures of local adaptation are frequently investigated by identifying loci with allele frequencies that exhibit high correlation with eco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a6c78bd7d01ec7f05ab296d475b6ce5
https://hal.archives-ouvertes.fr/hal-02004814
https://hal.archives-ouvertes.fr/hal-02004814
Publikováno v:
Genetics
Genetics, Genetics Society of America, 2014, 196 (4), pp.973-83
Genetics, Genetics Society of America, 2014, 196 (4), pp.973-83
Inference of individual ancestry coefficients, which is important for population genetic and association studies, is commonly performed using computer-intensive likelihood algorithms. With the availability of large population genomic data sets, fast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9de26d58c28a24e0485e4fe80211c6f9
https://europepmc.org/articles/PMC3982712/
https://europepmc.org/articles/PMC3982712/