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CERVUS 3.0
1. About cervus
What Cervus does
Cervus analyses genetic data from co-dominant genetic markers such as microsatellites (STRs) and SNPs. It assumes that the species is diploid and that markers are autosomal, although sex-linked markers can be used for some analyses. It also assumes that markers are inherited independently of each other, in other words that they are in linkage equilibrium.
Given genotypes that fulfil these assumptions Cervus can perform the following analyses:
Allele frequency analysis
Parentage testing using likelihood requires allele frequencies. Starting from a file of genotypes, this analysis calculates the frequency of each allele for each locus in the population, along with a range of summary statistics including tests for Hardy-Weinberg equilibrium and the presence of null alleles. These statistics help to determine the suitability of loci for downstream analysis.
Simulation of parentage analysis
The simulation of parentage analysis is useful for two reasons. First, simulation can be used to examine the feasibility of parentage analysis using a given set of loci. Second, simulation can be used to calculate critical values of likelihood ratios, so that