Textbook in PDF format

The book represents the continuation of my previous book Mathematical Models of Evolution. Volume I on the general theory of evolution in the setting of one-locus and multi-locus models. This volume contains mathematical models tailored to answer specific biological questions arising in virology. Chapter 1 demonstrates how mathematical models help to estimate basic evolutionary parameters of adapting populations not measurable directly by inferring them from genetic samples. Chapter 2 describes an evolutionary approach to infer full fitness landscape. Chapter 3 unravels the mystery of several biological properties of unclear evolutionary purpose. Chapter 4 dwells on the manifestations of Red Queen effect, including the adaptation of a pathogen in the face of the changing immune response and defective interference variants. The book will benefit all readers interested in evolution theory and its applications, especially quantitatively inclined virologists.
Preface
Inference of the acting factors of evolution and basic evolutionary parameters from sequence data
Inference of fitness landscape from sequence data
Evolutionary role of a trait
Evolutionary escape from an opposing species (Red Queen effect)
References
Index