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S10 - Population genetic inference from next-generation sequencing data
15:00-16:30
Auditorium
O-72 Maximum-likelihood methods for the estimation of population-genetic parameters from high-throughput sequencing data
Micheal Lynch
Indiana University, USA
O-73 Inferring adaptive evolution in the murid genome
Peter Keightley*1, Daniel Halligan1, Rob Ness1, Athanasios Kousathanas1, Bettina Harr2, David Adams3, Thomas Keane3
1University of Edinburgh, UK, 2Max-Planck-Institute for Evolutionary Biology, Germany, 3Wellcome Trust Sanger Institute, UK
O-74 Admixed human genomes reveal complex demographic patterns from early modern humans to the contemporary era
Simon Gravel*1, Jeffrey M Kidd2, Jake K Byrnes1, Andres Moreno Estrada1, Fouad Zakharia1, Shaila Musharoff1, Francisco M De La Vega1, Carlos D Bustamante1
1Stanford University, USA, 2University of Michigan, USA
O-75 Characterization of Great Ape genetic diversity by whole genome sequencing.
Peter Sudmant*1,3, Javier Prado2,3, Tomas Marques-Bonet2,3, Evan Eichler1,3
1University of Washington Genome Sciences, USA, 2Institut de Bioligia Evolutiva, Spain, 3Great Ape Sequencing Consortium, USA