A Cell Biologist′s Guide to Modeling and atics
Seiten
2007
John Wiley & Sons Inc (Hersteller)
978-0-470-13935-6 (ISBN)
John Wiley & Sons Inc (Hersteller)
978-0-470-13935-6 (ISBN)
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Provides the basic principles and tools necessary to incorporate bioinformatics into the reader's research. This guide covers the basic concepts needed to utilise computational tools to investigate the cell cycle, signalling, motility, and adhesion, as well as immune response. It also includes end of chapter problem sets with answers provided.
"Cell Biology in the Post Genomics Era" provides the basic principles and tools necessary to incorporate bioinformatics into the reader's research. Written by an expert in the field, this text serves as an invaluable practical resource, guide to research application, and introductory text for students. It covers the basic concepts needed to utilise computational tools to investigate the cell cycle, signalling, motility, and adhesion, as well as immune response. Each tool is reviewed in a critical fashion, underlining key concepts, limitations, and comparative strengths and weaknesses. It does not assume any advanced mathematical training. It provides comprehensive resource list for additional information. It includes end of chapter problem sets with answers provided, as well as boxes highlighting key technology developments by experts in the field. It offers an analysis of emerging technologies and discusses future applications in disease modelling.
"Cell Biology in the Post Genomics Era" provides the basic principles and tools necessary to incorporate bioinformatics into the reader's research. Written by an expert in the field, this text serves as an invaluable practical resource, guide to research application, and introductory text for students. It covers the basic concepts needed to utilise computational tools to investigate the cell cycle, signalling, motility, and adhesion, as well as immune response. Each tool is reviewed in a critical fashion, underlining key concepts, limitations, and comparative strengths and weaknesses. It does not assume any advanced mathematical training. It provides comprehensive resource list for additional information. It includes end of chapter problem sets with answers provided, as well as boxes highlighting key technology developments by experts in the field. It offers an analysis of emerging technologies and discusses future applications in disease modelling.
Raquell M. Holmes, PhD, is on the research faculty at Boston University's Center for Computational Science. Dr. Holmes has been instrumental in the development of faculty and student training in computational biology and computational science around the country.
Book Overview.1. Introduction.2. Sequence Alignments and Database Searches.3. Family-Domain Databases.4. Getting Started: Modeling.5. Modeling Metabolism.6. Cell Cycle.7. Calcium Dynamics.8. Advanced Computing.Glossary.Index.
Verlagsort | New York |
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Sprache | englisch |
Themenwelt | Naturwissenschaften ► Biologie ► Zellbiologie |
ISBN-10 | 0-470-13935-8 / 0470139358 |
ISBN-13 | 978-0-470-13935-6 / 9780470139356 |
Zustand | Neuware |
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