Program settings included SelfRI for linkage evaluation, the Kosambi mapping function, inference of missing data, and the command for marker distribution with p-value ≤ 0.001.
We consider four properties of mappings: mapping satisfiability, mapping inference, query answerability and mapping losslessness.
However, these results also suggest that stochastic mapping inference is highly robust to model parameter misspecification, when branch lengths are given.
The evolutionary model and branch lengths are estimated from all simulated sites as the first step of stochastic mapping inference (details in Materials and Methods).
This argument suggests that our simulation settings, in which a Markovian process is assumed both for the simulations and the stochastic mapping inference, may overestimate the performance of stochastic mapping based inference.
Notably, although maximum parsimony is a much faster method, this analysis shows that stochastic mapping inference can be obtained in a couple of minutes for data sets of ordinary size.
Although such evolutionary history is harder to reconstruct regardless of the method used, our results indicate that stochastic mapping inference is more robust with respect to higher evolutionary rates.
The other is to take advantage of classic genetic programs with specific functions, such as linkage disequilibrium mapping, haplotype inference and transmission disequilibrium tests.
The goal of this paper is to provide a map-dependent obfuscation procedure that enables the release of the maximum possible user's location information, that does not lead to a violation of the original user's location-privacy requirements, even when refined through map-based inference.
Microsatellite genetic marker data are exploited in a variety of fields, including forensics, gene mapping, kinship inference and population genetics.
