Biological and Medical Physics, Biomedical Engineering

Computer Simulation and Data Analysis in Molecular Biology and Biophysics

An Introduction Using R

Authors: Bloomfield, Victor

  • Covers many of the major quantitative topics in modern molecular and cell biology and biophysics
  • Presents both standard and cutting-edge topics such as regulation of metabolism and development
  • Treats both computer simulation and statistics
  • Takes a computational approach that most students find more appealing than analytical mathematics
  • Uses the powerful, open-source, cross-platform computer language R
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eBook $109.00
price for USA (gross)
valid through November 5, 2017
  • ISBN 978-1-4419-0083-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.00
price for USA
valid through November 5, 2017
  • ISBN 978-1-4419-0084-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.00
price for USA
valid through November 5, 2017
  • ISBN 978-1-4899-8520-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book provides an introduction, suitable for advanced undergraduates and beginning graduate students, to two important aspects of molecular biology and biophysics: computer simulation and data analysis. It introduces tools to enable readers to learn and use fundamental methods for constructing quantitative models of biological mechanisms, both deterministic and with some elements of randomness, including complex reaction equilibria and kinetics, population models, and regulation of metabolism and development; to understand how concepts of probability can help in explaining important features of DNA sequences; and to apply a useful set of statistical methods to analysis of experimental data from spectroscopic, genomic, and proteomic sources.

These quantitative tools are implemented using the free, open source software program R. R provides an excellent environment for general numerical and statistical computing and graphics, with capabilities similar to Matlab®. Since R is increasingly used in bioinformatics applications such as the BioConductor project, it can serve students as their basic quantitative, statistical, and graphics tool as they develop their careers

Reviews

From the reviews: “This book targets biochemistry and molecular biophysics students who have prior knowledge of a few subjects, including mathematics, statistics, and modeling, and possess very basic programming skills. Examples and illustrations are ample throughout the text, and the writing style is plain and efficient. … this book mostly appropriate for students or researchers who have prior exposure to the related subjects. Summing Up: Recommended. Upper-division undergraduates through researchers/faculty.” (D. Papamichail, Choice, Vol. 47 (5), January, 2010)

Table of contents (14 chapters)

Buy this book

eBook $109.00
price for USA (gross)
valid through November 5, 2017
  • ISBN 978-1-4419-0083-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.00
price for USA
valid through November 5, 2017
  • ISBN 978-1-4419-0084-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.00
price for USA
valid through November 5, 2017
  • ISBN 978-1-4899-8520-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Computer Simulation and Data Analysis in Molecular Biology and Biophysics
Book Subtitle
An Introduction Using R
Authors
Series Title
Biological and Medical Physics, Biomedical Engineering
Copyright
2009
Publisher
Springer-Verlag New York
Copyright Holder
Springer-Verlag New York
eBook ISBN
978-1-4419-0083-8
DOI
10.1007/978-1-4419-0083-8
Hardcover ISBN
978-1-4419-0084-5
Softcover ISBN
978-1-4899-8520-0
Series ISSN
1618-7210
Edition Number
1
Number of Pages
XVI, 321
Topics