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Physics - Biophysics & Biological Physics | Computer Simulation and Data Analysis in Molecular Biology and Biophysics - An Introduction Using

Computer Simulation and Data Analysis in Molecular Biology and Biophysics

An Introduction Using R

Bloomfield, Victor

2009, XVI, 321 p.

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  • 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

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

Content Level » Research

Keywords » Biophysics computing - Data analysis in molecular biology - Markov chain - Microarray - Quantitative biology - R programming language - Simulation - Statistical computing graphics - bioinformatics - biology - biophysics - genetics - systems biology quantitative models - transcription - using GNU S

Related subjects » Biochemistry & Biophysics - Biomedical Engineering - Biophysics & Biological Physics - Cell Biology - Systems Biology and Bioinformatics

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