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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.

Biophysics -- Computer simulation. --- Biophysics -- Data processing. --- Biophysics -- Mathematical models. --- Biophysics -- Statistical methods. --- Molecular biology --- Biophysics --- Open source software --- R (Computer program language) --- Biological Science Disciplines --- Epidemiologic Methods --- Physics --- Models, Theoretical --- Health Care Evaluation Mechanisms --- Software --- Biochemistry --- Computing Methodologies --- Investigative Techniques --- Genetics --- Mathematics --- Natural Science Disciplines --- Information Science --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Chemistry --- Biology --- Public Health --- Quality of Health Care --- Disciplines and Occupations --- Environment and Public Health --- Health Care Quality, Access, and Evaluation --- Health Care --- Statistics as Topic --- Models, Statistical --- Programming Languages --- Molecular Biology --- Computer Simulation --- Methods --- Health & Biological Sciences --- Computer simulation --- Mathematical models --- Statistical methods --- Data processing --- Data processing. --- Biological physics --- Molecular biochemistry --- Molecular biophysics --- Physics. --- Science. --- Biochemistry. --- Cell biology. --- Bioinformatics. --- Computational biology. --- Biophysics. --- Biological physics. --- Biomedical engineering. --- Biophysics and Biological Physics. --- Biochemistry, general. --- Science, general. --- Biomedical Engineering. --- Computer Appl. in Life Sciences. --- Cell Biology. --- Medical sciences --- Biomolecules --- Systems biology --- Cytology. --- Biological and Medical Physics, Biophysics. --- Science, Humanities and Social Sciences, multidisciplinary. --- Biomedical Engineering and Bioengineering. --- Cell biology --- Cellular biology --- Cells --- Cytologists --- Clinical engineering --- Medical engineering --- Bioengineering --- Engineering --- Medicine --- Biological chemistry --- Chemical composition of organisms --- Organisms --- Physiological chemistry --- Composition --- Bioinformatics . --- Computational biology . --- Bioinformatics --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- R (Computer program language). --- GNU-S (Computer program language) --- Domain-specific programming languages