The main focus of my research is population genetics, the study of genetic variation within species. The field is fundamental to understanding the genetic basis of adaptive traits, by elucidating the evolutionary forces that have shaped present-day genomic functional patterns. Population genomics approaches represent a valuable opportunity to address the evolutionary causes of modern complex diseases, by prioritising mutations for targeted association studies and functional experiments. I have developed and applied computational methods to highlight signatures of natural selection in the genome and to infer population demographic histories, by analysing large-scale datasets of model and non-model species. I have also designed and implemented software to analyse high-throughput sequencing data for evolutionary genomics purposes.
et al., 2019, ImaGene: a convolutional neural network to quantify natural selection from genomic data, Bmc Bioinformatics, Vol:20, ISSN:1471-2105
et al., 2019, ngsLD: evaluating linkage disequilibrium using genotype likelihoods, Bioinformatics, Vol:35, ISSN:1367-4803, Pages:3855-3856
et al., 2019, Genetic diversity of CHC22 clathrin impacts its function in glucose metabolism, Elife, Vol:8, ISSN:2050-084X
et al., 2019, Phenotypic sexual dimorphism is associated with genomic signatures of resolved sexual conflict, Molecular Ecology, Vol:28, ISSN:0962-1083, Pages:2860-2871
et al., 2019, Genetic heterogeneity of pigmentation variation in Eurasia highlights independent evolution of lighter skin pigmentation, Annual Meeting of the British-Society-for-Investigative-Dermatology, WILEY, Pages:E201-E201, ISSN:0007-0963