title: 4P: fast computing of population genetics statistics from large DNA polymorphism panels.
abstract: Massive DNA sequencing has significantly increased the amount of data available for population genetics and molecular ecology studies. However, the parallel computation of simple statistics within and between populations from large panels of polymorphic sites is not yet available, making the exploratory analyses of a set or subset of data a very laborious task. Here, we present 4P (parallel processing of polymorphism panels), a stand-alone software program for the rapid computation of genetic variation statistics (including the joint frequency spectrum) from millions of DNA variants in multiple individuals and multiple populations. It handles a standard input file format commonly used to store DNA variation from empirical or simulation experiments. The computational performance of 4P was evaluated using large SNP (single nucleotide polymorphism) datasets from human genomes or obtained by simulations. 4P was faster or much faster than other comparable programs, and the impact of parallel computing using multicore computers or servers was evident. 4P is a useful tool for biologists who need a simple and rapid computer program to run exploratory population genetics analyses in large panels of genomic data. It is also particularly suitable to analyze multiple data sets produced in simulation studies. Unix, Windows, and MacOs versions are provided, as well as the source code for easier pipeline implementations.
authors: Department of Life Sciences and Biotechnology, University of Ferrara via L. Borsari, 46, 44100, Ferrara, Italy.
authors: Andrea
authors: A
authors: Benazzo
authors: Department of Life Sciences and Biotechnology, University of Ferrara via L. Borsari, 46, 44100, Ferrara, Italy ; Department of Biodiversity and Molecular Ecology, Fondazione Edmund Mach via E. Mach 1, 38010 S, Michele all'Adige, Italy.
authors: Alex
authors: A
authors: Panziera
authors: Department of Life Sciences and Biotechnology, University of Ferrara via L. Borsari, 46, 44100, Ferrara, Italy.
authors: Giorgio
authors: G
authors: Bertorelle
keywords: Allelic spectrum; Fst; NGS; genetic indicators; genetic variation; software
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