Overview
First book that strikes a balance between biology and biomedicine on the one hand, and applied mathematics and computer science on the other hand
Presents a panoply of systems ranging from atoms and molecules to organs and biomedicine
Three communities are addressed: Bioinformatics, Biomedicine, and Neuroscience
Includes supplementary material: sn.pub/extras
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Table of contents (8 chapters)
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Front Matter
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Bioinformatics
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Front Matter
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Biomedical Signal and Image Analysis
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Front Matter
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Modeling in Neuroscience
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Front Matter
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Back Matter
Keywords
About this book
Computational biology, mathematical biology, biology and biomedicine are currently undergoing spectacular progresses due to a synergy between technological advances and inputs from physics, chemistry, mathematics, statistics and computer science. The goal of this book is to evidence this synergy by describing selected developments in the following fields: bioinformatics, biomedicine and neuroscience.
This work is unique in two respects - first, by the variety and scales of systems studied and second, by its presentation: Each chapter provides the biological or medical context, follows up with mathematical or algorithmic developments triggered by a specific problem and concludes with one or two success stories, namely new insights gained thanks to these methodological developments. It also highlights some unsolved and outstanding theoretical questions, with a potentially high impact on these disciplines.
Two communities will be particularly interested in this book. The first one is the vast community of applied mathematicians and computer scientists, whose interests should be captured by the added value generated by the application of advanced concepts and algorithms to challenging biological or medical problems. The second is the equally vast community of biologists. Whether scientists or engineers, they will find in this book a clear and self-contained account of concepts and techniques from mathematics and computer science, together with success stories on their favorite systems. The variety of systems described represents a panoply of complementary conceptual tools. On a practical level, the resources listed at the end of each chapter (databases, software) offer invaluable support for getting started on a specific topic in the fields of biomedicine, bioinformatics and neuroscience.
Reviews
From the reviews:
“‘A principal goal of this book is to illustrate that in modeling biological systems, deeper insights can be gained using more advanced mathematical and algorithmic developments that implicate a wide spectrum of techniques from applied mathematics and computer science.’ The book achieves this goal. … this is a well-organized and well-written book, with timely information for multidisciplinary researchers in the bioinformatics, biomedical signal and image analysis, and neuroscience modeling fields.” (Jindong Liu, Computing Reviews, April, 2013)Editors and Affiliations
About the editors
Frédéric Cazals holds a PhD in Theoretical Computer Science from the University of Paris VII. He is Research Director at INRIA Sophia-Antipolis Méditerranée, where he leads the Algorithms-Biology-Structure project-team. His research interests span geometric and topological modeling, scientific software development, and computational structural biology.
Pierre Kornprobst holds a PhD in Mathematics from the University of Nice Sophia Antipolis. He is a researcher at INRIA Sophia-Antipolis Méditerranée. His research interest is the study of vision, from computational and biological perspectives, including image processing using partial differential equations, retina modeling, motion perception estimation and categorization.
Bibliographic Information
Book Title: Modeling in Computational Biology and Biomedicine
Book Subtitle: A Multidisciplinary Endeavor
Editors: Frédéric Cazals, Pierre Kornprobst
DOI: https://doi.org/10.1007/978-3-642-31208-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-31207-6Published: 06 November 2012
Softcover ISBN: 978-3-642-44669-6Published: 14 December 2014
eBook ISBN: 978-3-642-31208-3Published: 06 November 2012
Edition Number: 1
Number of Pages: XXVI, 318
Topics: Mathematical and Computational Biology, Applications of Mathematics, Computational Biology/Bioinformatics