Mathematical Modeling of Evolution: Volume 1: One-Locus and Multi-Locus Theory and Recombination, Igor M. Rouzine
Автор: A.B. Korol; S.I. Preigel Название: Recombination Variability and Evolution ISBN: 0412494108 ISBN-13(EAN): 9780412494109 Издательство: Springer Рейтинг: Цена: 30370.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Offers an adaptionist interpretation of the basic features of recombination, its evolutionary significance as a key process in reproduction and its importance in genetic mapping. This book synthesizes information in the fields of evloutionary genetics of recombination, the analysis of genetic markers and breeding applications.
Автор: Andr?s Aguilera; Rodney Rothstein Название: Molecular Genetics of Recombination ISBN: 3642090052 ISBN-13(EAN): 9783642090059 Издательство: Springer Рейтинг: Цена: 53544.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This work offers a fascinating insight into a crucial genetic process. It provides in-depth and up-to-date analysis of the chapter topics, and has been written by international experts in the field.
Автор: William M. Spears Название: Evolutionary Algorithms ISBN: 3642086241 ISBN-13(EAN): 9783642086243 Издательство: Springer Рейтинг: Цена: 17074.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Despite decades of work in evolutionary algorithms, there remains an uncertainty as to the relative benefits and detriments of using recombination or mutation. It integrates important prior work and introduces new theoretical techniques for studying evolutionary algorithms.
Автор: V. V. Kushev Название: Mechanisms of Genetic Recombination ISBN: 1475758022 ISBN-13(EAN): 9781475758023 Издательство: Springer Рейтинг: Цена: 10610.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents a broad range of topics in the field of mathematical modeling in the biological sciences. This work examines the central problems in the life sciences, ranging from the organizational principles of individual cells to the dynamics of large populations.
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