title: A novel parallel approach to the likelihood-based estimation of admixture in population genetics.
abstract: CONCLUSIONS
  Inferring population admixture from genetic data and quantifying it is a difficult but crucial task in evolutionary and conservation biology. Unfortunately state-of-the-art probabilistic approaches are computationally demanding. Effectively exploiting the computational power of modern multiprocessor systems can thus have a positive impact to Monte Carlo-based simulation of admixture modeling. A novel parallel approach is briefly described and promising results on its message passing interface (MPI)-based C++ implementation are reported.
  
  
  BACKGROUND
  The software package parLEA is freely available at (http://dm.unife.it/parlea).
authors.affiliation: Department of Mathematics and Math4Tech Center, University of Ferrara, Ferrara, Italy. ambra.giovannini@unife.it
authors.forename: Ambra
authors.initials: A
authors.lastname: Giovannini
authors.forename: Gaetano
authors.initials: G
authors.lastname: Zanghirati
authors.forename: Mark A
authors.initials: MA
authors.lastname: Beaumont
authors.forename: Lounès
authors.initials: L
authors.lastname: Chikhi
authors.forename: Guido
authors.initials: G
authors.lastname: Barbujani
mesh_terms: D019295:Computational Biology / Q000379:methods*; D019143:Evolution, Molecular; D005828:Genetics, Population / Q000379:methods*; D016013:Likelihood Functions; D009010:Monte Carlo Method