Isbn: 9781402072741 - sequence - evolution - function: computational approaches in comparative genomics (12 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2002

    1402072740 / 9781402072741

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    hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

  • Lingua: Inglese

    Editore: Springer, 2002

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    Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

  • Lingua: Inglese

    Editore: Springer, 2002

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  • Lingua: Inglese

    Editore: Springer, 2002

    1402072740 / 9781402072741

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    Condizione: Used. pp. 490.

  • Lingua: Inglese

    Editore: Springer, 2002

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

  • Lingua: Inglese

    Editore: Springer, 2002

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    Condizione: Used. pp. 490 Illus.

  • Lingua: Inglese

    Editore: Springer, 2002

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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    Condizione: Used. pp. 490.

  • Lingua: Inglese

    Editore: Springer, 2002

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  • Lingua: Inglese

    Editore: Springer US Nov 2002, 2002

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. The book provides the reader with an understanding of the principles and approaches of functional genomics and of the potential and limitations of computational and experimental approaches to genome analysis. Sequence - Evolution - Function should help bridge the 'digital divide' between biologists and computer scientists, allowing biologists to better grasp the peculiarities of the emerging field of Genome Biology and to learn how to benefit from the enormous amount of sequence data available in the public databases. The book is non-technical with respect to the computer methods for genome analysis and discusses these methods from the user's viewpoint, without addressing mathematical and algorithmic details. Prior practical familiarity with the basic methods for sequence analysis is a major advantage, but a reader without such experience will be able to use the book as an introduction to these methods. This book is perfect for introductory level courses in computational methods for comparative and functional genomics. 488 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer US, 2002

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    Da: moluna, Greven, Germaniamoluna

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    Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Completed and ongoing genome sequencing projectsDatabases that store and organize genomic data, with their unique advantages and pitfallsPrinciples and methods of genome analysis and annotationWays to automate the searches and increa.

  • Lingua: Inglese

    Editore: Springer, Springer Nov 2002, 2002

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. The book provides the reader with an understanding of the principles and approaches of functional genomics and of the potential and limitations of computational and experimental approaches to genome analysis.Sequence - Evolution - Function should help bridge the 'digital divide' between biologists and computer scientists, allowing biologists to better grasp the peculiarities of the emerging field of Genome Biology and to learn how to benefit from the enormous amount of sequence data available in the public databases. The book is non-technical with respect to the computer methods for genome analysis and discusses these methods from the user's viewpoint, without addressing mathematical and algorithmic details. Prior practical familiarity with the basic methods for sequence analysis is a major advantage, but a reader without such experience will be able to use the book as an introduction to these methods. This book is perfect for introductory level courses in computational methods for comparative and functional genomics.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 488 pp. Englisch.

  • Lingua: Inglese

    Editore: Humana, 2002

    1402072740 / 9781402072741

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    EUR 212,09

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    Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. The book provides the reader with an understanding of the principles and approaches of functional genomics and of the potential and limitations of computational and experimental approaches to genome analysis. Sequence - Evolution - Function should help bridge the 'digital divide' between biologists and computer scientists, allowing biologists to better grasp the peculiarities of the emerging field of Genome Biology and to learn how to benefit from the enormous amount of sequence data available in the public databases. The book is non-technical with respect to the computer methods for genome analysis and discusses these methods from the user's viewpoint, without addressing mathematical and algorithmic details. Prior practical familiarity with the basic methods for sequence analysis is a major advantage, but a reader without such experience will be able to use the book as an introduction to these methods. This book is perfect for introductory level courses in computational methods for comparative and functional genomics.