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Updated: Jun 24, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
Published on: December 10, 2012
A novel parallel approach to the likelihood-based estimation of admixture in population genetics
Ambra Giovannini1, Gaetano Zanghirati, Mark A Beaumont
1Department of Mathematics and Math4Tech Center, University of Ferrara, Ferrara, Italy. ambra.giovannini@unife.it
Summary:
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.
Availability:
The software package parLEA is freely available at (http://dm.unife.it/parlea).
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