An exponential family (a class of probability distributions that is well understood in probability theory such that inference is easily made by using existing software) called the 'discrete Laplace distribution' is described. Estimation is naturally based on a population model, motivating the investigation of the Fisher-Wright model of evolution for haploid lineage DNA markers. forensic genetics, where the frequencies are needed to calculate the likelihood ratio for the evidental weight of a DNA profile found at a crime scene. These assumptions make theĪlgorithm ideal for studying lineage markers such as Y-STR.Įstimating haplotype frequencies is important in e.g. Mutation process, and self-reproducing individuals. With flexible growth specification, no selection, a neutral single step We focus on a haploid model and assume stochastic population size In the open-source R package 'fwsim' and is able to simulate very large Traditional view from individuals to haplotypes. The efficiency comes from convenient data structures by changing the We describe an efficient algorithm for exact forward simulation of exactįisher-Wright populations (and not approximative such as the coalescent model). A dominating model forĭescribing population dynamics is the simple, yet powerful, Fisher-Wright Short tandem repeat loci on the Y chromosome (Y-STR). Genetics, the haplotypes can for example consist of lineage markers such as Helps facilitating research on the distribution of haplotypes.
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Haplotypes are distributed in a population.
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In both population genetics and forensic genetics it is important to know how