Models and Algorithms for Genome Evolution

Despite the remarkable unity of the basic components of the living world, we still do not fully understand the great diversity of genome structures and the variety of ways genomes use to evolve. Each type of mutation has its own model, and its own set of algorithmic and statistical tools for studying the deep past of our molecules. Such techniques exist for most known mutations, yet many challenges remain. Integrative models, mixing single nucleotide substitutions and rearrangements, are extremely rare. Models are often too simple and unrealistic to yield trustworthy biological hypotheses. The sequencing of new species also frequently reveals new modes of organization and evolution. This book examines the latest developments, discusses future directions and goals, and presents coherent tools for unraveling the intricacies of complex biological datasets. It gathers contributions from computer scientists, mathematicians and biologists involved in comparative genomics, phylogenetics and related fields.

• ISBN: 978-1-4471-5297-2
• Editorial: Springer
• Encuadernacion: Cartoné
• Fecha Publicación: 29/11/2013
• Nº Volúmenes: 1
• Idioma: Inglés