Symmetrical Analysis Techniques for Genetic Systems and Bioinformatics: Advanced Patterns and Applications

This work on matrix genetics compiles approaches to the structural analysis of genetic systems and bioinformatics. Kronecker matrix families of square matrices are applied to genetic informatics to derive the following results: new phenomenological rules of evolution of the genetic code, connections of genetic code structures to multi-dimensional algebras, and parallels with quantum computers. Material is in sections on symmetrical analysis techniques and symbolic matrices; numeric matrices of the genetic code; and algebras of genetic codes. A final section on connections with other fields looks at Fibonacci numbers, algebraic models of physiological cycles in matrix genetics, and connections between genetic matrices and the ancient Chinese prognosticator the I Ching. The book is for researchers and students in molecular genetics, bioinformatics, computer informatics, mathematical and theoretical biology, and psychophysics. Petoukhov is affiliated with the Mechanical Engineering Research Institute at the Russian Academy of Sciences, Moscow. Matthew He is professor and director of the Division of Math, Science, and Technology at Nova Southeastern University. Annotation c2010 Book News, Inc., Portland, OR (booknews.com)