Description
This book delves into the intricate world of DNA sequence evolution through the lens of probability models. It offers a comprehensive look at how genetic sequences can be analyzed and understood using mathematical frameworks. Readers will find a blend of theoretical insights and practical applications that are crucial for biologists, geneticists, and statisticians alike.
With a focus on the dynamics of evolutionary processes, the work presents various models that illuminate the stochastic behaviors at play in genetics. By marrying complex concepts with accessible explanations, it serves as an essential resource for anyone interested in the intersection of mathematics and biology.
With a focus on the dynamics of evolutionary processes, the work presents various models that illuminate the stochastic behaviors at play in genetics. By marrying complex concepts with accessible explanations, it serves as an essential resource for anyone interested in the intersection of mathematics and biology.
Book Details
Format
Hardcover
Language
English
Published
Jan 1, 1632
Publisher
Springer