Cancer Bioinformatics, Ying Xu; Juan Cui; David Puett
Автор: Sung Название: Algorithms in Bioinformatics ISBN: 1420070339 ISBN-13(EAN): 9781420070330 Издательство: Taylor&Francis Рейтинг: Цена: 13779.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Introduction.- Review of Literature.- Materials and Methods (Tools and Databases).- Flowchart.- Conclusion.-References.
Автор: Forsdyke, Donald R. Название: Evolutionary bioinformatics / ISBN: 3319287532 ISBN-13(EAN): 9783319287539 Издательство: Springer Рейтинг: Цена: 26552.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Dardel Название: Bioinformatics: Genomics & Post-genomics. 2006 ISBN: 0470020016 ISBN-13(EAN): 9780470020012 Издательство: Wiley Рейтинг: Цена: 10446.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Bioinformatics is an extremely popular and rapidly growing new discipline that has evolved around the use of algorithmic and computer techniques to analyze large datasets being generated in genomics and related fields. Bioinformatics: Genomics and Post-Genomics provides a clear and concise introduction to the popular new science of bioinformatics.
Автор: Alfredo Cesario; Frederick Marcus Название: Cancer Systems Biology, Bioinformatics and Medicine ISBN: 9401783659 ISBN-13(EAN): 9789401783651 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This teaching monograph on systems approaches to cancer research and clinical applications provides a unique synthesis, by world-class scientists and doctors, of laboratory, computational, and clinical methods, thereby establishing the foundations for major advances not possible with current methods. Specifically, the book: 1) Sets the stage by describing the basis of systems biology and bioinformatics approaches, and the clinical background of cancer in a systems context; 2) Summarizes the laboratory, clinical, data systems analysis and bioinformatics tools, along with infrastructure and resources required; 3) Demonstrates the application of these tools to cancer research; 4) Extends these tools and methods to clinical diagnosis, drug development and treatment applications; and 5) Finishes by exploring longer term perspectives and providing conclusions. This book reviews the state-of-the-art, and goes beyond into new applications. It is written and highly referenced as a textbook and practical guide aimed at students, academics, doctors, clinicians, industrialists and managers in cancer research and therapeutic applications. Ideally, it will set the stage for integration of available knowledge to optimize communication between basic and clinical researchers involved in the ultimate fight against cancer, whatever the field of specific interest, whatever the area of activity within translational research.
Автор: Gavin J. Gordon Название: Bioinformatics in Cancer and Cancer Therapy ISBN: 1617377589 ISBN-13(EAN): 9781617377587 Издательство: Springer Рейтинг: Цена: 34799.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book shows how a bioinformatics approach has been used to characterize various cancer-related processes. It provides a historical and technical perspective on the analytical techniques, methodologies, and platforms used in bioinformatics experiments.
Автор: Ying Xu; Juan Cui; David Puett Название: Cancer Bioinformatics ISBN: 1493943030 ISBN-13(EAN): 9781493943036 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a framework for computational researchers studying the basics of cancer through comparative analyses of omic data. Cancer Bioinformatics is designed for practitioners and researchers working in cancer research and bioinformatics.
Описание: Covers key concepts in bioinformatics, from databases to predictive and comparative algorithms. This book features: chapters on genomic databases, predictive methods using RNA sequences, sequence polymorphisms, protein structure prediction, intermolecular interactions, and proteomic approaches for protein identification.
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