ISBN: 9781441931627
Computational Genome Analysis: An Introduction presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical … Altro …
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ISBN: 9781441931627
Computational Genome Analysis: An Introduction presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical … Altro …
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2006, ISBN: 9781441931627
Computational Genome Analysis: An Introduction presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical … Altro …
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2010, ISBN: 1441931627
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2010, ISBN: 1441931627
edizione con copertina rigida
Softcover reprint of hardcover 1st ed. 2005 Kartoniert / Broschiert Wahrscheinlichkeitsrechnung und Statistik, DV-gestützte Biologie/Bioinformatik, Mathematik für Informatiker, Alignmen… Altro …
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ISBN: 9781441931627
Computational Genome Analysis: An Introduction presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical … Altro …
ISBN: 9781441931627
Computational Genome Analysis: An Introduction presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical … Altro …
2006
ISBN: 9781441931627
Computational Genome Analysis: An Introduction presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical … Altro …
2010, ISBN: 1441931627
edizione con copertina rigida
Softcover reprint of hardcover 1st ed. 2005 Kartoniert / Broschiert Wahrscheinlichkeitsrechnung und Statistik, DV-gestützte Biologie/Bioinformatik, Mathematik für Informatiker, Computer… Altro …
2010, ISBN: 1441931627
edizione con copertina rigida
Softcover reprint of hardcover 1st ed. 2005 Kartoniert / Broschiert Wahrscheinlichkeitsrechnung und Statistik, DV-gestützte Biologie/Bioinformatik, Mathematik für Informatiker, Alignmen… Altro …
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Informazioni dettagliate del libro - Computational Genome Analysis by Richard C. Deonier Paperback | Indigo Chapters
EAN (ISBN-13): 9781441931627
ISBN (ISBN-10): 1441931627
Copertina rigida
Copertina flessibile
Anno di pubblicazione: 2010
Editore: Richard C. Deonier
555 Pagine
Peso: 0,826 kg
Lingua: eng/Englisch
Libro nella banca dati dal 2011-07-22T13:50:12+02:00 (Zurich)
Pagina di dettaglio ultima modifica in 2024-04-15T12:26:35+02:00 (Zurich)
ISBN/EAN: 9781441931627
ISBN - Stili di scrittura alternativi:
1-4419-3162-7, 978-1-4419-3162-7
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : richard simon, waterman, simo, michael simon, lander richard, george, kawamoto, gene smith
Titolo del libro: computational genome analysis introduction, richard simon
Dati dell'editore
Autore: Richard C. Deonier
Titolo: Computational Genome Analysis - An Introduction
Editore: Springer; Springer US
535 Pagine
Anno di pubblicazione: 2010-12-08
New York; NY; US
Stampato / Fatto in
Peso: 0,866 kg
Lingua: Inglese
71,49 € (DE)
BC; Computational Biology/Bioinformatics; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; DV-gestützte Biologie/Bioinformatik; Verstehen; Alignment; Analysis; DNA; algorithms; bioinformatics; clustering; computer; computer science; database; genome; statistics; Bioinformatics; Genetics and Population Dynamics; Statistics for Life Sciences, Medicine, Health Sciences; Probability and Statistics in Computer Science; Computational and Systems Biology; Bioinformatics; Population Genetics; Biostatistics; Probability and Statistics in Computer Science; Evolution; Wahrscheinlichkeitsrechnung und Statistik; Mathematik für Informatiker; BB
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 variation. Presentation of fundamentals of probability, statistics, and algorithms. Implementation of computational methods with numerous examples based upon the R statistics package. Extensive descriptions and explanations to complement the analytical development. More than 100 illustrations and diagrams (some in color) to reinforce concepts and present key results from the primary literature. Exercises at the end of chapters. 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. 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. Michael 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.Altri libri che potrebbero essere simili a questo:
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