Inferring population size history from large samples of genome-wide molecular data - an approximate bayesian computation approach

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Boitard, Simon; Rodríguez, Willy; Jay, Flora; Mona, Stefano; Austerlitz, Frédéric;
(2016)
  • Publisher: Public Library of Science
  • Journal: PLoS Genetics, volume 12, issue 3 (issn: 1553-7390, eissn: 1553-7404)
  • Publisher copyright policies & self-archiving
  • Identifiers: doi: 10.1371/journal.pgen.1005877, pmc: PMC4778914
  • Subject: Computational Biology | Research Article | Population Metrics | Neural Networks | Ruminants | [SDV.GEN]Life Sciences [q-bio]/Genetics | Agriculture | Effective Population Size | QH426-470 | Genetics | Evolutionary Biology | People and Places | Demography | dairy-cattle breeds ; linkage disequilibrium ; snp data ; genetic data ; inference ; sequence; model ; recombination; bottlenecks ; coalescent | Livestock | Genomics | Animals | Genomics Statistics | Bovines | Population Genetics | Biology and Life Sciences | Computer and Information Sciences | Neuroscience | Cattle | Population Size | Vertebrates | Haplotypes | Population Biology | Mammals | Organisms

International audience; Inferring the ancestral dynamics of effective population size is a long-standing question in population genetics, which can now be tackled much more accurately thanks to the massive genomic data available in many species. Several promising method... View more
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