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Sequence - Evolution - Function
ComputationalApproaches in Comparative Genomics by Eugene V. Koonin NationalCenter for Biotechnology Information, Bethesda, MD, USA Michael Y.Galperin National Center for Biotechnology Information, Bethesda,MD, USA Sequence - Evolution - Function is an introduction to thecomputational approaches that play a critical role in the emergingnew branch of biology known as functional genomics. The bookprovides the reader with an understanding of the principles andapproaches of functional genomics and of the potential andlimitations of computational and experimental approaches to genomeanalysis. Key topics covered in this textbook are: · the completedand ongoing genome sequencing projects, · databases that store andorganize genomic data, with their unique advantages and pitfalls, ·principles and methods of genome analysis and annotation, · ways toautomate the searches and increase search sensitivity whileminimizing the error rate, · the first lessons from the HumanGenome Project, · the contribution of comparative genomics to theunderstanding of hereditary diseases and cancer, · fundamental andpractical applications of comparative genomics, · the use ofcomplete genomes for evolutionary analysis, · the application ofcomparative genomics for identification of potential drug targetsin microbial genomes, · Problems for Further Study, which aredesigned to be solved by using methods available through the WWW.Sequence - Evolution - Function should help bridge the \\\"digitaldivide\\\" between biologists and computer scientists, allowingbiologists to better grasp the peculiarities of the emerging fieldof Genome Biology and to learn how to benefit from the enormousamount of sequence data available in the public databases. The bookis non-technical with respect to the computer methods for genomeanalysis and discusses these methods from the user\\\'s viewpoint,without addressing mathematical and algorithmic details. Priorpractical familiarity with the basic methods for sequence analysisis a major advantage, but a reader without such experience will beable to use the book as an introduction to these methods. This bookis perfect for introductory level courses in computational methodsfor comparative and functional genomics.