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COMPUTER ANALYSIS OF GENETIC MACROMOLECULES
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COMPUTER ANALYSIS OF GENETIC MACROMOLECULES
Author:AL LIM HWA A ET (EN)
A introductory fragment is available
Language of a book: Английский
Publisher: Gardners Books

    Molecular biology and genetics are fast-growing fields with significant results and findings being reported virtually every day. Raw data from the wet lab accumulate at an astonishing rate, making it necessary to analyze the biological data with the use of computers. This book reveals how the current challenges of molecular biology and genetics are met with computer and mathematical treatments. A combined effort of the Computational Genetics and Biophysics Group (Supercomputer Computations Research Institute, USA), the Theoretical Molecular Genetics (Russian Academy of Sciences, Russia) and the Bioinformatics Group (Consiglio Nazionale delle Ricerche, Italy), many of these findings are firsthand discoveries made by these groups. The book emphasizes the fundamental principles of the structural-functional organization of the 3 major classes of genetic macromolecules: DNA, RNA and proteins. It also introduces universally applicable theoretical principles into the enormous realm of raw data and develops an integrative, theoretical computer approach to the analysis of these macromolecules to gain insights into the complexities of their function and evolution.Contents:Computer Analysis of Structural-Functional Organization of Nucleotide SequencesMobile Genetic Elements and Transposable Sequences: Principles of Structural-Functional Organization and EvolutionComputer Investigation of Molecular Mechanisms of MutagenesisInvestigation of Protein Structural-Functional Organization and EvolutionGenetic Macro-molecules: Principles and Mechanisms of EvolutionReadership: Biochemists, computational scientists, geneticists, mathematicians and molecular biologists.Key Features:Cover a wide range of issues in international macroeconomics and international financeUse insights of behavioral economics making it possible to better understand macroeconomic dynamics

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