Bioinformatics - A Student`s Companion, Syed Ibrahim

Автор: Sung
Название: Algorithms in Bioinformatics
ISBN: 1420070339 ISBN-13(EAN): 9781420070330
Издательство: Taylor&Francis
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Цена: 91860.00 T
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Описание: Presents an introduction to the algorithmic techniques applied in bioinformatics. For each topic, this title details the biological motivation, defines the corresponding computational problems, and includes examples to illustrate each algorithm.

Автор: Lesk Arthur
Название: Introduction to Bioinformatics
ISBN: 0199651566 ISBN-13(EAN): 9780199651566
Издательство: Oxford Academ
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Цена: 41170.00 T
Наличие на складе: Невозможна поставка.
Описание: Introduction to Bioinformatics provides friendly guidance and advice on how to use a range of computational methods and techniques for retrieving and analysing biological data. The book is ideal for those new to the subject, with frequent self-test problems and exercises incorporated throughout the text to encourage self-directed learning.

Автор: Jonathan M. Keith
Название: Bioinformatics Volume II: Structure, Function, and Applications
ISBN: 1493966111 ISBN-13(EAN): 9781493966110
Издательство: Springer
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Цена: 130430.00 T
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Описание: This second edition provides updated and expanded chapters covering a broad sampling of useful and current methods in the rapidly developing and expanding field of bioinformatics.

Автор: Gibas, Cynthia
Название: Developing Bioinformatics Computer Skills
ISBN: 1565926641 ISBN-13(EAN): 9781565926646
Издательство: Wiley
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Цена: 47510.00 T
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Описание: The application of computational and analytical methods to biological problems is a rapidly evolving scientific discipline. This book is designed to help any biologist develop a structured approach to data, as well as provide the tools they`ll need to analyze it.

Автор: Forsdyke, Donald R.
Название: Evolutionary bioinformatics /
ISBN: 3319287532 ISBN-13(EAN): 9783319287539
Издательство: Springer
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Цена: 177010.00 T
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Описание: Now in its third edition and supplemented with more online material, this book aims to make the "new" information-based (rather than gene-based) bioinformatics intelligible both to the "bio" people and the "info" people.