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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