Statistics for Biology and Health

Bayesian Methods in Structural Bioinformatics

Editors: Hamelryck, Thomas, Mardia, Kanti, Ferkinghoff-Borg, Jesper (Eds.)

  • First book on Bayesian methods in structural bioinformatics, defining an important emerging field
  • High profile contributors
  • Unlike other edited volumes, the book forms a solid unity, with nearly 100 pages introductory material
  • Provides a complete "starter kit" to the field -Suitable for teaching
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About this book

This book is an edited volume, the goal of which is to provide an overview of the current state-of-the-art in statistical methods applied to problems in structural bioinformatics (and in particular protein structure prediction, simulation, experimental structure determination and analysis). It focuses on statistical methods that have a clear interpretation in the framework of statistical physics, rather than ad hoc, black box methods based on neural networks or support vector machines. In addition, the emphasis is on methods that deal with biomolecular structure in atomic detail. The book is highly accessible, and only assumes background knowledge on protein structure, with a minimum of mathematical knowledge. Therefore, the book includes introductory chapters that contain a solid introduction to key topics such as Bayesian statistics and concepts in machine learning and statistical physics.

About the authors

Thomas Hamelryck is an associate professor at the Bioinformatics Center, University of Copenhagen. He completed his PhD in macromolecular crystallography at the Free University of Brussels (VUB). His research interests include the application of Bayesian machine learning methods and directional statistics to the inference of protein and RNA structure, based on sequence information or experimental data.
Kanti Mardia (Senior Research Professor, University of Leeds) is a pioneering researcher and leader in modern statistical science, and is responsible for numerous groundbreaking developments; his monographs are highly acclaimed and he has played a lasting leadership role in interdisciplinary research. His most outstanding contributions lie in directional data analysis, shape analysis, spatial statistics, multivariate analysis, and protein bioinformatics.
Jesper Ferkinghoff-Borg is an associate professor at the section for Biomedical Engineering, DTU-Electro, Technical University of Denmark (DTU), Copenhagen, where he heads the computational biophysics group. He received his PhD in theoretical physics from the Niels Bohr Institute at the University of Copenhagen. 

Table of contents (13 chapters)

  • An Overview of Bayesian Inference and Graphical Models

    Hamelryck, Thomas

    Pages 3-48

  • Monte Carlo Methods for Inference in High-Dimensional Systems

    Ferkinghoff-Borg, Jesper

    Pages 49-93

  • On the Physical Relevance and Statistical Interpretation of Knowledge-Based Potentials

    Borg, Mikael (et al.)

    Pages 97-124

  • Towards a General Probabilistic Model of Protein Structure: The Reference Ratio Method

    Frellsen, Jes (et al.)

    Pages 125-134

  • Inferring Knowledge Based Potentials Using Contrastive Divergence

    Podtelezhnikov, Alexei A. (et al.)

    Pages 135-155

Buy this book

eBook $89.00
price for USA (gross)
  • ISBN 978-3-642-27225-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $119.00
price for USA
  • ISBN 978-3-642-27224-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $119.00
price for USA
  • ISBN 978-3-642-43988-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Bayesian Methods in Structural Bioinformatics
Editors
  • Thomas Hamelryck
  • Kanti Mardia
  • Jesper Ferkinghoff-Borg
Series Title
Statistics for Biology and Health
Copyright
2012
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-27225-7
DOI
10.1007/978-3-642-27225-7
Hardcover ISBN
978-3-642-27224-0
Softcover ISBN
978-3-642-43988-9
Series ISSN
1431-8776
Edition Number
1
Number of Pages
XXII, 386
Topics