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Studies of evolution at the molecular level have experienced phenomenal growth in the last few decades, due to rapid accumulation of genetic sequence data, improved computer hardware and software, and the development of sophisticated analytical methods. The flood of genomic data has generated an acute need for powerful statistical methods and efficient computational algorithms to enable their effective analysis and interpretation. This advanced textbook is aimed at graduate level students and professional researchers (both empiricists and theoreticians) in the fields of bioinformatics and computational biology, statistical genomics, evolutionary biology, molecular systematics, and population genetics. It will also be of relevance and use to a wider audience of applied statisticians, mathematicians, and computer scientists working in computational biology.--Résumé de l'éditeur.
57.087.1 --- 575.85 --- Biometry. Statistical study and treatment of biological data --- Mechanics of evolution. Evolution according to levels of biological systems --- 575.85 Mechanics of evolution. Evolution according to levels of biological systems --- 57.087.1 Biometry. Statistical study and treatment of biological data --- Molecular evolution --- Phylogeny --- Mathematical models --- Statistical methods --- Molecular aspects --- Molecular evolution - Mathematical models --- Molecular evolution - Statistical methods --- Phylogeny - Molecular aspects
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Molecular evolution --- Data processing. --- Mathematical models.
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This book describes the models, methods and algorithms that are most useful for analysing the ever-increasing supply of molecular sequence data, with a view to furthering our understanding of the evolution of genes and genomes. - ;The field of molecular evolution has experienced explosive growth in recent years due to the rapid accumulation of genetic sequence data, continuous improvements to computer hardware and software, and the development of sophisticated analytical methods. The increasing availability of large genomic data sets requires powerful statistical methods to analyse and interpr
Molecular evolution. --- Molecular evolution --- Biological Evolution --- Models, Theoretical --- Investigative Techniques --- Biological Processes --- Genetic Processes --- Genetic Phenomena --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Biological Phenomena --- Phenomena and Processes --- Evolution, Molecular --- Models, Biological --- Biology --- Health & Biological Sciences --- Evolution --- Biologic Phenomena --- Biological Phenomenon --- Biological Process --- Phenomena, Biological --- Phenomena, Biologic --- Phenomenon, Biological --- Process, Biological --- Processes, Biological --- Investigative Technics --- Investigative Technic --- Investigative Technique --- Technic, Investigative --- Technics, Investigative --- Technique, Investigative --- Techniques, Investigative --- Experimental Model --- Experimental Models --- Mathematical Model --- Model, Experimental --- Models (Theoretical) --- Models, Experimental --- Models, Theoretic --- Theoretical Study --- Mathematical Models --- Model (Theoretical) --- Model, Mathematical --- Model, Theoretical --- Models, Mathematical --- Studies, Theoretical --- Study, Theoretical --- Theoretical Model --- Theoretical Models --- Theoretical Studies --- Computer Simulation --- Systems Theory --- Evolution, Biological --- Sociobiology --- Biochemical evolution --- Chemical evolution --- Life --- Molecular biology --- Biological Model --- Biological Models --- Model, Biological --- Models, Biologic --- Biologic Model --- Biologic Models --- Model, Biologic --- Genetic Evolution --- Molecular Evolution --- Evolution, Genetic --- Directed Molecular Evolution --- Genetic Concepts --- Genetic Phenomenon --- Genetic Process --- Concept, Genetic --- Concepts, Genetic --- Genetic Concept --- Phenomena, Genetic --- Phenomenon, Genetic --- Process, Genetic --- Processes, Genetic --- Molecular Biology --- Mathematical models --- Data processing --- Origin --- Models, Biological. --- Mathematical models. --- Data processing.
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