2023 - Research.com Ecology and Evolution in France Leader Award
The scientist’s investigation covers issues in Genetics, Ecology, Approximate Bayesian computation, Inference and Microsatellite. Genetics connects with themes related to Population genetics in his study. His study on Invasive species, Ecology and Animal ecology is often connected to Harmonia axyridis as part of broader study in Ecology.
His biological study spans a wide range of topics, including Posterior probability, Data mining, Bayes' theorem and Bayesian inference. His research in Inference intersects with topics in Monte Carlo method, Population size and Random variable. In his work, Sample size determination is strongly intertwined with Genetic marker, which is a subfield of Microsatellite.
Ecology, Microsatellite, Genetics, Evolutionary biology and Population genetics are his primary areas of study. His Ecology research includes elements of Biological dispersal and Approximate Bayesian computation. His Microsatellite study incorporates themes from Genetic marker, Genotype and Locus.
His Genetics study frequently draws connections to other fields, such as Inbreeding depression. The Evolutionary biology study which covers Genetic variation that intersects with Founder effect and Population density. His Population genetics research is multidisciplinary, relying on both Phylogeography, Genotyping, Genetic structure and Allele frequency.
His scientific interests lie mostly in Harmonia axyridis, Ecology, Evolutionary biology, Approximate Bayesian computation and Drosophila suzukii. His research on Ecology frequently links to adjacent areas such as Phylogeography. The concepts of his Evolutionary biology study are interwoven with issues in Effective population size, Genetic diversity, Phenotype, Gene and Selection.
His Approximate Bayesian computation research is multidisciplinary, incorporating perspectives in Random forest, Data mining and Population genetics. His research integrates issues of House mouse and Genetic admixture in his study of Population genetics. Arnaud Estoup works mostly in the field of Introduced species, limiting it down to topics relating to Population size and, in certain cases, Fixation, Inbreeding depression, Genetic purging, Population fragmentation and Genetics, as a part of the same area of interest.
His main research concerns Ecology, Introduced species, Biodiversity, Harmonia axyridis and Intraguild predation. His Ecology research incorporates themes from Phylogeography and Population genetics. His studies deal with areas such as House mouse, Founder effect, Genetic structure, Demographic history and Biological dispersal as well as Phylogeography.
His work on Population genetics is being expanded to include thematically relevant topics such as Genetic variation. His studies examine the connections between Introduced species and genetics, as well as such issues in Population size, with regards to Adaptation, Selection, Genetic diversity and Bayes' theorem. Arnaud Estoup focuses mostly in the field of Bayes' theorem, narrowing it down to matters related to Approximate Bayesian computation and, in some cases, Gene flow.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Microsatellite Null Alleles and Estimation of Population Differentiation
Molecular Biology and Evolution (2007)
GENECLASS2: A Software for Genetic Assignment and First-Generation Migrant Detection
Journal of Heredity (2004)
New Methods Employing Multilocus Genotypes to Select or Exclude Populations as Origins of Individuals
Jean-Marie Cornuet;Sylvain Piry;Gordon Luikart;Arnaud Estoup.
Genetic assignment methods for the direct, real-time estimation of migration rate: a simulation-based exploration of accuracy and power
Molecular Ecology (2004)
Homoplasy and mutation model at microsatellite loci and their consequences for population genetics analysis.
Molecular Ecology (2002)
Geneland: a computer package for landscape genetics
Gilles Guillot;Frédéric Mortier;Arnaud Estoup.
Molecular Ecology Notes (2005)
Inferring population history with DIY ABC
Jean-Marie Cornuet;Filipe Santos;Mark A. Beaumont;Christian P. Robert.
DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite data
A spatial statistical model for landscape genetics
Inference on population history and model checking using DNA sequence and microsatellite data with the software DIYABC (v1.0).
BMC Bioinformatics (2010)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: