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Computational Genome Analysis: An Introduction - Richard C. Deonier
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ISBN: 9781441931627

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Computational Genome Analysis: An Introduction presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book is appropriate for a one-semester course for advanced undergraduate or beginning graduate students, and it can also introduce computational biology to computer scientists, mathematicians, or biologists who are extending their interests into this exciting field.This book features:Topics organized around biological problems, such as sequence alignment and assembly, DNA signals, analysis of gene expression, and human genetic variationPresentation of fundamentals of probability, statistics, and algorithmsImplementation of computational methods with numerous examples based upon the R statistics packageExtensive descriptions and explanations to complement the analytical developmentMore than 100 illustrations and diagrams (some in color) to reinforce concepts and present key results from the primary literatureExercises at the end of chaptersMichael S. Waterman is a University Professor, a USC Associates Chair in Natural Sciences, and Professor of Biological Sciences, Computer Science, and Mathematics at the University of Southern California. A member of the National Academy of Sciences and the American Academy of Arts and Sciences, Professor Waterman is Founding Editor and Co-Editor in Chief of the Journal of Computational Biology. His research has focused on computational analysis of molecular sequence data. His best-known work is the co-development of the local alignment Smith-Waterman algorithm, which has become the foundational tool for database search methods. His interests have also encompassed physical mapping, as exemplified by the Lander-Waterman formulas, and genome sequence assembly using an Eulerian path method.Simon Tavaré holds the George and Louise Kawamoto Chair in Biological Sciences and is a Professor of Biological Sciences, Mathematics, and Preventive Medicine at the University of Southern California. Professor Tavaré''s research lies at the interface between statistics and biology, specifically focusing on problems arising in molecular biology, human genetics, population genetics, molecular evolution, and bioinformatics. His statistical interests focus on stochastic computation. Among the applications are linkage disequilibrium mapping, stem cell evolution, and inference in the fossil record. Dr. Tavaré is also a professor in the Department of Oncology at the University of Cambridge, England, where his group concentrates on cancer genomics.Richard C. Deonier is Professor Emeritus in the Molecular and Computational Biology Section of the Department of Biological Sciences at the University of Southern California. Originally trained as a physical biochemist, His major research has been in areas of molecular genetics, with particular interests in physical methods for gene mapping, bacterial transposable elements, and conjugative plasmids. During 30 years of active teaching, he has taught chemistry, biology, and computational biology at both the undergraduate and graduate levels. Richard C. Deonier, Books, Computational Genome Analysis: An Introduction Books, Springer

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Computational Genome Analysis
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Computational Genome Analysis - neues Buch

ISBN: 9781441931627

ID: 10345267

This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book features a free download of the R software statistics package and the text provides great crossover. This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book features a free download of the R software statistics package and the text provides great crossover material that is interesting and accessible to students in biology, mathematics, statistics and computer science. More than 100 illustrations and diagrams reinforce concepts and present key results from the primary literature. Exercises are given at the end of chapters. Books, Science and Geography~~Biology, Life Sciences~~Life Sciences: General Issues, Computational Genome Analysis~~Book~~9781441931627~~Richard C. Deonier, Michael S. Waterman, Simon Tavare, , , , , , , , , ,, [PU: Springer]

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Computational Genome Analysis - Deonier, Richard C. Tavare, Simon Waterman, Michael S.
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Deonier, Richard C. Tavare, Simon Waterman, Michael S.:
Computational Genome Analysis - Taschenbuch

2010

ISBN: 9781441931627

[ED: Softcover], [PU: Springer, Berlin], This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics to understand these applications.2010. xx, 535 S. 102 SW-Abb., 15 Farbabb. 235 mmVersandfertig in 3-5 Tagen, [SC: 0.00]

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Computational Genome Analysis - Richard C. Deonier; Simon Tavare; Michael S. Waterman
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Richard C. Deonier; Simon Tavare; Michael S. Waterman:
Computational Genome Analysis - Taschenbuch

2010, ISBN: 9781441931627

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1st ed. Softcover of orig. ed. 2005, Softcover, Buch, [PU: Springer-Verlag New York Inc.]

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Computational Genome Analysis: An Introduction - Deonier, Richard C
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Deonier, Richard C:
Computational Genome Analysis: An Introduction - Taschenbuch

2010, ISBN: 9781441931627

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SPRINGER PG, 2010. Paperback. New. SKU: MM-00364144; EAN: 9781441931627, SPRINGER PG, 2010

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Details zum Buch
Computational Genome Analysis: An Introduction
Autor:

Deonier, Richard C.; Tavare, Simon; Waterman, Michael S.

Titel:

Computational Genome Analysis: An Introduction

ISBN-Nummer:

9781441931627

This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book features a free download of the R software statistics package and the text provides great crossover material that is interesting and accessible to students in biology, mathematics, statistics and computer science. More than 100 illustrations and diagrams reinforce concepts and present key results from the primary literature. Exercises are given at the end of chapters.

Detailangaben zum Buch - Computational Genome Analysis: An Introduction


EAN (ISBN-13): 9781441931627
ISBN (ISBN-10): 1441931627
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: SPRINGER VERLAG GMBH
555 Seiten
Gewicht: 0,826 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 22.07.2011 13:50:12
Buch zuletzt gefunden am 12.10.2016 17:46:05
ISBN/EAN: 9781441931627

ISBN - alternative Schreibweisen:
1-4419-3162-7, 978-1-4419-3162-7

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