My research interests focus on understanding mechanisms underlying patterns of genetic diversity in natural populations. More specifically, I am interested in studying the impacts of natural selection in the genome. To do so, I use computational approaches and develop new inference tools for genomic data.
The current aim of my PhD thesis is to develop a method to detect and measure polygenic selection in human gene networks, by combining bioinformatics algorithms and population genetics concepts.
- signet: an R package to detect polygenic selection in biological pathways
- STRAF: a Shiny app to analyse forensic genetics data
|2015-||PhD thesis in population genomics under supervision of Prof. Laurent Excoffier, CMPG, University of Bern, Switzerland|
||MSc in Evolutionary Biology and Ecology under supervision of Dr. Pierrick Labbé and Dr. François Rousset, ISEM, University of Montpellier, France|
|2010-2013||BSc in Population Biology, University of Limoges, France|
- Gouy A, Daub JT & Excoffier L (2017) Detecting gene subnetworks under selection in biological pathways. Nucleic Acids Research Advanced articles [Abstract and pdf]
- Gouy A & Zieger M (2017) STRAF—A convenient online tool for STR data evaluation in forensic genetics. Forensic Science International: Genetics 30: 148-151 [Abstract and pdf]
- Rousset F, Gouy A, Martinez-Almoyna C & Courtiol A (2016) The summary likelihood method and its implementation in the Infusion package. Molecular Ecology Resources 17(1): 110-119 [Abstract and pdf]