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Introduction to Computational Genomics: A Case Studies Approach Tapa blanda - 2006
de Nello Cristianini; Matthew W. Hahn
This readable and entertaining book provides a roadmap to navigate entry to the field of computational genomics in biology. It guides the reader through key achievements of bioinformatics, using a hands-on approach. Statistical sequence analysis, sequence alignment, hidden Markov models, gene and motif finding, and other topics are introduced in a rigorous yet accessible way.
Detalles
- Título Introduction to Computational Genomics: A Case Studies Approach
- Autor Nello Cristianini; Matthew W. Hahn
- Encuadernación Tapa blanda
- Edición [ Edition: repri
- Páginas 202
- Volúmenes 1
- Idioma ENG
- Editorial Cambridge University Press, USA
- Fecha de publicación 2006-12-14
- Ilustrado Sí
- Features Bibliography, Illustrated, Index, Table of Contents, Textbook
- ISBN 9780521671910 / 0521671914
- Peso 0.9 libras (0.41 kg)
- Dimensiones 9.6 x 7.3 x 0.8 pulgadas (24.38 x 18.54 x 2.03 cm)
- Library of Congress subjects Computational Biology - methods, Computational biology
- Número de catálogo de la Librería del Congreso de EEUU 2007273397
- Dewey Decimal Code 572.860
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Introduction to Computational Genomics: A Case Studies Approach
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Cambridge University Press, 2007-01-15. Paperback. Used: Good.
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Introduction to Computational Genomics: A Case Studies Approach
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Paperback. Very Good.
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Introduction to Computational Genomics A Case Studies Approach
de Cristianini
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Cambridge Univ. Press, USA, 2007. Edition Unstated. Softcover. Very Good Condition. Very Good- Text appears to be clean. Cover has some wear and corner bumps. Spine is in very good condition. Multiple copies available this title. Quantity Available: 3. Shipped Weight: Under 1 kilo. Category: Education; ISBN: 0521671914. ISBN/EAN: 9780521671910. Pictures of this item not already displayed here available upon request. Inventory No: 1561045673. . 9780521671910
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Introduction to Computational Genomics
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New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The Introduction to Computational Genomics.
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Introduction to Computational Genomics: A Case Studies Approach
de Nello Cristianini
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Paperback / softback. New. Are we related to Neanderthals? Where did SARS come from? Such questions are answered by statistical and computational analysis of genetic data, and are the vehicle for this entertaining introduction to computational genomics. The case-studies approach with Matlab demos provides an enjoyable way to learn how to analyze genomic data first-hand.
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Introduction to Computational Genomics: A Case Studies Approach
de Cristianini, Nello
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HOUSTON, Texas, United States
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Brand: Cambridge University Press, 2006-12-14. 1. paperback. Used:Good.
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Introduction to Computational Genomics: A Case Studies Approach
de Cristianini, Nello
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San Diego, California, United States
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Cambridge University Press, 2006-12-14. Paperback. New. New. In shrink wrap. Looks like an interesting title!
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Introduction to Computational Genomics: A Case Studies Approach
de Cristianini, Nello
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- Tapa blanda
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campbelltown, Florida, United States
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Cambridge University Press, 2007-01-14. paperback. New. 7x0x9. Brand New Book in Publishers original Sealing
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Introduction to Computational Genomics by Cristianini, Nello
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Johannesburg, South Africa
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ISBN: 9780521671910Cambridge University Press | 01 January 2006
Paperback | 202 pages
Where did SARS come from? Have we inherited genes from Neanderthals? How do plants use their internal clock? The genomic revolution in biology enables us to answer such questions. But the revolution would have been impossible without the support of powerful computational and statistical methods that enable us to exploit genomic data. Many universities are introducing courses to train the next generation of bioinformaticians: biologists fluent in mathematics and computer science, and data analysts familiar with biology. This readable and entertaining book, based on successful taught courses, provides a roadmap to navigate entry to this field. It guides the reader through key achievements of bioinformatics, using a hands-on approach. Statistical sequence analysis, sequence alignment, hidden Markov models, gene and motif finding and more, are introduced in a rigorous yet accessible way. A companion website provides the… Leer más
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