Fitness Landscape, Red Queen, Evolutionary Enigmas, and Applications to Virology.

Format:

Book

Author/Creator:

Rouzine, Igor M.

Series:

De Gruyter Series in Mathematics and Life Sciences Series

De Gruyter Series in Mathematics and Life Sciences Series ; v.8/2

Language:

English

Physical Description:

1 online resource (322 pages)

Edition:

1st ed.

Place of Publication:

Berlin/Boston : Walter de Gruyter GmbH, 2023.

Summary:

The De Gruyter Series in Mathematics and Life Sciences is devoted to the publication of monographs in the field. They cover topics and methods in fields of current interest that use mathematical approaches to understand and explain, model and influence phenomena in all areas of life sciences. This includes, among others, theory and application of biological mathematical modeling, complex systems biology, bioinformatics, computational biomodeling stochastic modeling, biostatistics, computational evolutionary biology, comparative genomics, or structural bioinformatics. Also, new types of mathematical problems that arise from biological knowledge shall be covered.

Contents:

Intro

Preface

Contents

Chapter 1 Inference of the acting factors of evolution and basic evolutionary parameters from sequence data

Chapter 2 Inference of fitness landscape from sequence data

Chapter 3 Evolutionary role of a trait

Chapter 4 Evolutionary escape from an opposing species (Red Queen effect)

References

Index.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783110697384

3110697386

OCLC:

1395183779