Used - isbn: 0521857007 - isbn13: 9780521857000 Cambridge University Press

Cambridge Univ Pr, Date: 2005. Hardcover. New. new title edition. 420 pages. 10.00x7.00x1.00 inches. 2005. Cambridge Univ Pr ISBN 0521857007 9780521857000 [GB]

Cambridge University Press 11/15/2013 Hardback or Cased Book New in New jacket Algebraic Statistics for Computational Biology (Hardback or Cased Book)

Cambridge Univ Pr, Date: 2005. Hardcover. New. new title edition. 420 pages. 10.00x7.00x1.00 inches. 2005. Cambridge Univ Pr ISBN 0521857007 9780521857000 [GB]

ISBN10: 0521857007, ISBN13: 9780521857000, [publisher: Cambridge University Press] Hardcover Special order direct from the distributor
[Victoria, BC, Canada] [Publication Year: 2005]

ISBN10: 0521857007, ISBN13: 9780521857000, [publisher: Cambridge University Press] Hardcover Very Good Copy. Customer Service Guaranteed
[Denver, CO, U.S.A.] [Publication Year: 2005]

ISBN10: 0521857007, ISBN13: 9780521857000, [publisher: Cambridge University Press] Hardcover Druck auf Anfrage Neuware - Printed after ordering - The quantitative analysis of biological sequence data is based on methods from statistics coupled with efficient algorithms from computer science. Algebra provides a framework for unifying many of the seemingly disparate techniques used by computational biologists. This book introduces this framework and describes tools for designing new algorithms for exact, accurate results. These are applied to biological problems such as aligning genomes, finding genes and constructing phylogenies. As the first book in the exciting and dynamic area, it will be welcomed as a text for self-study or for course use.
[Einbeck, Germany] [Publication Year: 2005]
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ISBN10: 0521857007, ISBN13: 9780521857000, [publisher: Cambridge University Press] Hardcover New
[Long Beach, CA, U.S.A.] [Publication Year: 2005]

ISBN10: 0521857007, ISBN13: 9780521857000, [publisher: Cambridge University Press] Hardcover Druck auf Anfrage Neuware - Printed after ordering - The quantitative analysis of biological sequence data is based on methods from statistics coupled with efficient algorithms from computer science. Algebra provides a framework for unifying many of the seemingly disparate techniques used by computational biologists. This book introduces this framework and describes tools for designing new algorithms for exact, accurate results. These are applied to biological problems such as aligning genomes, finding genes and constructing phylogenies. As the first book in the exciting and dynamic area, it will be welcomed as a text for self-study or for course use.
[Einbeck, Germany] [Publication Year: 2005]
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ISBN10: 0521857007, ISBN13: 9780521857000, [publisher: Cambridge University Press] Hardcover
[Moncks Corner, SC, U.S.A.] [Publication Year: 2005]