This book investigates the computational and mathematical underpinnings of biological sequence analysis, focusing on the development and application of algorithms for understanding evolutionary relationships and molecular structures. David Sankoff, a pioneer in computational biology, draws upon his extensive research to present a cohesive framework for analyzing genetic and protein sequences. The work synthesizes theoretical concepts with practical applications, utilizing methods such as dynamic programming and statistical modeling to interpret complex biological data.

This book is recognized as a foundational text in computational biology, offering rigorous mathematical treatments of key problems in sequence analysis. Experts in the field acknowledge its significant contribution to the theoretical framework underlying bioinformatics. The work is considered essential for researchers and advanced students seeking a deep understanding of the algorithms and models that drive modern biological data interpretation.