Article

Xue, AT, Schrider, DR, Kern, AD, Della Torre, A, Caputo, B, Kabula, B, White, B, Godfray, C, Edi, C, Wilding, C, Neafsey, D, Conway, D, Weetman, D, Ayala, D, Kwiatkowski, D, Sharakhov, I, Midega, J, Xu, J, Pinto, J, Essandoh, J et al, Matowo, J, Vernick, K, Djogbenou, LS, Coulibaly, M, Lawniczak, M, Donnelly, M, Hahn, M, Fontaine, M, Riehle, M, Besansky, N, Cornejo, O, Mccann, R, O'loughlin, S, Robert, V, Xue, A, Miles, A, Clarkson, C, Battey, CJ, Champion, C, Labbe, F, Bottà, G, Adrion, J, Nelson, J, Harding, N, Wang, R, Small, ST, Redmond, S and Antão, T (2020) Discovery of Ongoing Selective Sweeps within Anopheles Mosquito Populations Using Deep Learning. Molecular Biology and Evolution, 38 (3). pp. 1168-1183. ISSN 0737-4038

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Gomes, B, Wilding, CS, Weetman, D, Sousa, CA, Novo, MT, Savage, HM, Almeida, APG, Pinto, J and Donnelly, MJ (2015) Limited genomic divergence between intraspecific forms of Culex pipiens under different ecological pressures. BMC Evolutionary Biology, 15. p. 197. ISSN 1471-2148