Computer simulation and data analysis in molecular biology and biophysics: an introduction using R

This book provides an introduction, suitable for advanced undergraduates and beginning graduate students, to two important aspects of molecular biology andbiophysics: computer simulation and data analysis. It introduces tools to enable readers to learn and use fundamental methods for constructing quantitativemodels of biological mechanisms, both deterministic and with some elements ofrandomness, including complex reaction equilibria and kinetics, population models, and regulation of metabolism and development; to understand how conceptsof 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. Covers many of the majorquantitative topics in modern molecular and cell biology and biophysics Presents both standard and cutting-edge topics such as regulation of metabolism anddevelopment 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 INDICE: Part I: The Basics of R. Calculating with R. Plotting with R. Functions and Programming. Data and Packages.- Part II: Simulation of Biological Processes. Equilibrium and Steady State Calculations. Differential Equations and Reaction Kinetics. Population Models. Compartmental Models. Regulation of Metabolism. Regulation of Transcription and Development.- Part III: Analyzing DNA and Protein Sequences, Probability, Stochastic Processes, and Markov Chains.DNA Sequence Analysis.- Part IV: Statistical Analysis in Molecular Biology and Biophysics. Statistical Analysis of Data.- Microarrays.

• ISBN: 978-1-4419-0084-5
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 490
• Fecha Publicación: 01/05/2009
• Nº Volúmenes: 1
• Idioma: Inglés