Celine Becquet



http://przeworski.uchicago.edu/cbecquet/index.html

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Research Overview

My research interests focus on investigating computational methods to understand speciation. How populations diverge and give rise to distinct species remains a fundamental question in evolutionary biology, with important implications for a wide range of fields, from conservation genetics to human evolution. As an approach to this question, I developed the program MIMAR, which uses summaries of polymorphism data at multiple loci surveyed in a pair of diverging populations or closely related species and, in contrast to previous methods, allows for intralocus recombination. I have also been interested in understanding great ape populations and species' demographic histories, which remain largely unknown. All the great ape populations and species have declined to the point that their long-term survival in the wild is in serious jeopardy. I hope that the additional knowledge will help the conservation and preservation of our closest living evolutionary relatives.

Selected Publications

Becquet, C., and M. Przeworski (2007) A new method to estimate parameters of speciation models, with application to apes. Genome Research 17: 1505-1519.

Thornton, K.R., J.D. Jensen, C. Becquet and Andolfatto, P. (2007) Progress and prospects in mapping recent selection in the genome. Heredity 98(6): 340-348.

Becquet, C., Patterson, N., Stone, A. C., Przeworski, M., and D. Reich (2007) Genetic structure of chimpanzee populations. PLoS Genetics 3: e66.

Oyama, F., H. Miyazaki, N. Sakamoto, C. Becquet, Y. Machida, K. Kaneko, C. Uchikawa, T. Suzuki, M. Kuro- sawa, T. Ikeda, A. Tamaoka, T. Sakurai and Nukina, N. (2006) Sodium channel β4 subunit: down-regulation and possible involvement in neuritic degeneration in Huntingtons's disease transgenic mice. J Neurochem. 98(2): 518-529.

Becquet, C., S. Blachon, B. Jeudy, J.-F.Boulicaut and Gandrillon, O. (2002) Strong association rule mining for large gene expression data analysis; a case study on human SAGE data. Genome Biology 3(12): 1-16.