Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids

This book provides a comprehensive and up-to-date account of probabilistic methods for analyzing DNA, RNA, and protein sequences.

With a Bayesian slant, it covers hidden Markov models, linguistic-grammar-based probabilistic models, and probabilistic evolutionary models, among others.

The book is written by an interdisciplinary team of authors and is accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields.

It includes numerous examples and applications, making it a valuable resource for both beginners and experts in the field.

Whether you're looking to learn about the latest techniques in sequence analysis or want to deepen your understanding of the subject, this book is an excellent choice.