Clinical Bioinformatics, Ronald J.A. Trent

Автор: Sung
Название: Algorithms in Bioinformatics
ISBN: 1420070339 ISBN-13(EAN): 9781420070330
Издательство: Taylor&Francis
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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: Gibas, Cynthia
Название: Developing Bioinformatics Computer Skills
ISBN: 1565926641 ISBN-13(EAN): 9781565926646
Издательство: Wiley
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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: Rune Matthiesen
Название: Bioinformatics Methods in Clinical Research
ISBN: 1617796700 ISBN-13(EAN): 9781617796708
Издательство: Springer
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Цена: 20263.00 р.
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Описание: Covering the latest developments in clinical omics, this volume details the algorithms currently used in publicly available software tools. It looks at statistics, algorithms, automated data retrieval, and experimental consideration in the various omics areas.

Автор: Ingvar Eidhammer
Название: Protein Bioinformatics: An Algorithmic Approach to Sequence and Structure Analysis
ISBN: 0470848391 ISBN-13(EAN): 9780470848395
Издательство: Wiley
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Цена: 12189.00 р.
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Описание: This book takes the novel approach to cover both the sequence and structure analysis of proteins in one volume and from an algorithmic perspective. Key features of the book include:* Provides a comprehensive introduction to the analysis of protein sequence and structure analysis.

Автор: Forsdyke, Donald R.
Название: Evolutionary bioinformatics /
ISBN: 3319287532 ISBN-13(EAN): 9783319287539
Издательство: Springer
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Цена: 26552.00 р.
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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.