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

HIGHLIGHTS

  • who: Simon Boitard and collaborators from the Université Paris-Saclay, Jouy-en-Josas, France, UMR CNRS, Institut de Mathématiques de, CNRS UMR, Orsay, France have published the Article: Inferring Population Size History from Large Samples of Genome-Wide Molecular Data - An Approximate Bayesian Computation Approach, in the Journal: (JOURNAL)
  • what: This sample summarized using the folded allele frequency spectrum and the average zygotic linkage disequilibrium at different bins of physical distance two classes of statistics that are widely used in population genetics and can be easily computed from unphased and unpolarized SNP the approach . . .

     

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