Eugene V. Koonin, Michael Galperin

Sequence - Evolution - Function (eBook, PDF)

Computational Approaches in Comparative Genomics

• Format: PDF

Produktbeschreibung

Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. The book provides the reader with an understanding of the principles and approaches of functional genomics and of the potential and limitations of computational and experimental approaches to genome analysis.

Sequence - Evolution - Function should help bridge the "digital divide" between biologists and computer scientists, allowing biologists to better grasp the peculiarities of the emerging field of Genome Biology and to learn how to benefit from the enormous amount of sequence data available in the public databases. The book is non-technical with respect to the computer methods for genome analysis and discusses these methods from the user's viewpoint, without addressing mathematical and algorithmic details. Prior practical familiarity with the basic methods for sequence analysis is a major advantage, but a reader without such experience will be able to use the book as an introduction to these methods. This book is perfect for introductory level courses in computational methods for comparative and functional genomics.

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Produktdetails

• Verlag: Springer New York
• Seitenzahl: 462
• Erscheinungstermin: 29. Juni 2013
• Englisch
• ISBN-13: 9781475737837
• Artikelnr.: 44060280

Inhaltsangabe

Preface.Introduction: Personal Interludes.1. Genomes from Phage to Human.2. The Evolutionary Concept in Genetics and Genomics.3. Information Sources for Genomics.4. Principles and Methods of Sequence Analysis.5. Genome Annotation and Analysis.6. Comparative Genomic and New Evolutionary Biology.7. Evolution of Central Metabolic Pathways: The Playground of Non-orthologous Gene Displacement.8. Genomes and the Protein Universe.9. Epilogue: Peering Through the Crystal Ball.Appendices.References. Index.