Large-scale modeling of genetic data

The objective of the problem arises from the reconstruction of gene genealogies problem - from a given genotypes of sequence data from contemporary individuals and an extended pedigree of genealogical relationships among them we have to decide and be very clear about what we should consider to be nodes information in genealogy tree according to kinds of dependencies among these nodes which should be considered to be edges of the tree. This project will focus on the development of novel algorithms for advanced reconstruction of the gene genealogy by performing inference on graphical models, specifically, implementing the greedy approach and loopy belief propagation algorithm on the succinct tree sequences. The implemented algorithms would undoubtedly be of use to integrate into the existing tskit and msprime libraries.