Inferring the Demographic History of Iranian Populations from Whole Exome Sequencing Data, M.Sc. Thesis Sharif University of Technology ; Motahari, Abolfazl (Supervisor) ; Khalaj, Babak (Supervisor)
Abstract
One of the cornerstones of population genetics is finding ancestral relations between people of a population. Mutations and recombinations are two major signals that can be exploited to infer the population ancestral relationships. Next Generation Sequencing (NGS) has paved the way for achieving this endeavor by providing massive data including single nucleotide polymorphisms, insertions, and deletions as well as structural variations between individuals. In this thesis, the goal is to infer the ancestral structure of a given gene from thousands of NGS datasets. We also attempt to decode times of important events including mutations and recombinations. To this end, we first split a gene into...
Cataloging briefInferring the Demographic History of Iranian Populations from Whole Exome Sequencing Data, M.Sc. Thesis Sharif University of Technology ; Motahari, Abolfazl (Supervisor) ; Khalaj, Babak (Supervisor)
Abstract
One of the cornerstones of population genetics is finding ancestral relations between people of a population. Mutations and recombinations are two major signals that can be exploited to infer the population ancestral relationships. Next Generation Sequencing (NGS) has paved the way for achieving this endeavor by providing massive data including single nucleotide polymorphisms, insertions, and deletions as well as structural variations between individuals. In this thesis, the goal is to infer the ancestral structure of a given gene from thousands of NGS datasets. We also attempt to decode times of important events including mutations and recombinations. To this end, we first split a gene into...
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