Some Mathematical Models from Population Genetics
Author | : Alison Etheridge |
Publisher | : Springer Science & Business Media |
Total Pages | : 129 |
Release | : 2011-01-07 |
ISBN-10 | : 9783642166310 |
ISBN-13 | : 3642166318 |
Rating | : 4/5 (10 Downloads) |
Book excerpt: This work reflects sixteen hours of lectures delivered by the author at the 2009 St Flour summer school in probability. It provides a rapid introduction to a range of mathematical models that have their origins in theoretical population genetics. The models fall into two classes: forwards in time models for the evolution of frequencies of different genetic types in a population; and backwards in time (coalescent) models that trace out the genealogical relationships between individuals in a sample from the population. Some, like the classical Wright-Fisher model, date right back to the origins of the subject. Others, like the multiple merger coalescents or the spatial Lambda-Fleming-Viot process are much more recent. All share a rich mathematical structure. Biological terms are explained, the models are carefully motivated and tools for their study are presented systematically.