Tavare simon (52 risultati)

Condizione: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.

gebundene Ausgabe. Condizione: Gut. 534 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 955.

Condizione: Good. Volume 87. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9780387949444. …

Gr.-8°, hardcover. Condizione: Sehr gut. 2005. 534 Seiten Ausgetragenes Bibliotheksexemplar, Hardcover, Papier in altersgemäßem sehr gutem Zustand. B07-03-03E Sprache: Englisch Gewicht in Gramm: 2133.

Hardcover. Condizione: As New. . . . . 8vo, hardcover. No dj. Fine condition. Covers and contents crisp, clean, unworn, no marking or writing. Binding square and tight. 534 pp. Analysis, Biology, Mathematics, Molecular, 0387987851.

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Condizione: New.

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hardcover. Condizione: New. In shrink wrap. Looks like an interesting title.

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hardcover. Condizione: Gut. 374 Seiten; 9783037190005.3 Gewicht in Gramm: 1.

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Kartoniert / Broschiert. Condizione: New.

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 chaptersFrom the reviews:'The book is useful for its breadth. An impressive variety of topics are surveyed.' Short Book Reviews of the ISI, June 2006'It is a very good book indeed and I would strongly recommend it both to the student hoping to take this study further and to the general reader who wants to know what computational genome analysis is all about.' Mark Bloom for the JRSS, Series A, Volume 169, p. 1006, October 2006'Richard C. Deonier, Simon Tavare and Michael S. Waterman provide us wtih a 'roll up your sleeves and get dirty' (as the authors phrase it in their preface) introduction to the field of computational genome analysis.The bookis carefully written and carefully edited.' Ralf Schmid for Genetic Research, Volume 87, p. 218, 2006. …

Condizione: New.

Condizione: New.

Softcover. Condizione: Gut. " Gebraucht - Gut Zustand: Gut, Mängelexemplar, VII, 315 p. About this book: This volume contains lectures given at the 31st Probability Summer School in Saint-Flour (July 8-25, 2001). Simon Tavaré's lectures serve as an introduction to the coalescent, and to inference for ancestral processes in population genetics. The stochastic computation methods described include rejection methods, importance sampling, Markov chain Monte Carlo, and approximate Bayesian methods. Ofer Zeitouni's course on \"Random Walks in Random Environment\" presents systematically the tools that have been introduced to study the model. A fairly complete description of available results in dimension 1 is given. For higher dimension, the basic techniques and a discussion of some of the available results are provided. The contribution also includes an updated annotated bibliography and suggestions for further reading. Olivier Catoni's course appears separately. Written for researchers and advanced students ".…

Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 330 | Sprache: Englisch | Produktart: Bücher | Devoted to the collection, interpretation and analysis of population genetic data, topics included here include studies on human evolutionary history, molecular techniques for generating data, statistical and computational techniques for the interpretation of such data, and stochastic models for genealogy and population structure. The book reflects the close interaction between experimental molecular biologists and theoreticians, and as such will be useful for specialists in the area, as well as mathematicians, statisticians, computer scientists and biologists wanting a brief overview of current problems in the field. …

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Paperback. Condizione: As New. Reprint. International edition Contents Acknowledgements. 1. Biology in a nutshell. 2. Words. 3. Word distributions and occurrences. 4. Physical mapping of DNA. 5. Genome rearrangements. 6. Sequence alignment. 7. Rapid Alignment Methods FASTA and BLAST. 8. DNA Sequence Assembly. 9. Signals in DNA. 10. Similarity distance and clustering. 11. Measuring expression of genome information. 12. Inferring the past phylogenetic trees. 13. Genetic variation in populations. 14. Comparative genomics. Glossary 1. A brief introduction to R. 2. Internet bioinformatics resources. 3. Miscellaneous data. 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. This book is appropriate for a one semester course for advanced 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 (15 in color) to reinforce concepts and present key results from the primary literature. Exercises at the end of chapters. 534 pp.…