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Computer Simulation and Data Analysis in Molecular Biology and Biophysics
This book provides an introduction to two important aspects of modern bioch- istry, molecular biology, and biophysics: computer simulation and data analysis. My aim is to introduce the tools that will enable students to learn and use some f- damental methods to construct quantitative models of biological mechanisms, both deterministicandwithsomeelementsofrandomness;tolearnhowconceptsofpr- ability can help to understand important features of DNA sequences; and to apply a useful set of statistical methods to analysis of experimental data. The availability of very capable but inexpensive personal computers and software makes it possible to do such work at a much higher level, but in a much easi...
Nucleic Acids
Providing a comprehensive account of the structures and physical chemistry properties of nucleic acids, with special emphasis on biological function, this text has been organized to meet the needs of those who have only a basic understanding of physical chemistry and molecular biology.
The Chicago Guide to Your Career in Science
Embarking upon research as a graduate student or postdoc can be exciting and enriching—the start of a rewarding career. But the world of scientific research is also a competitive one, with grants and good jobs increasingly hard to find. The Chicago Guide to Your Career in Science is intended to help scientists not just cope but excel at this critical phase in their careers. Victor A. Bloomfield and Esam E. El-Fakahany, both well-known scientists with extensive experience as teachers, mentors, and administrators, have combined their knowledge to create a guidebook that addresses all of the challenges that today’s scientists-in-training face. They begin by considering the early stages of a...
Using R for Numerical Analysis in Science and Engineering
Instead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the complex mathematical problems commonly faced by scientists and engineers. This practical guide to the capabilities of R demonstrates Monte Carlo, stochastic, deterministic, and other numerical methods through an abundance of worked examples and code, covering the solution of systems of linear algebraic equations and nonlinear equations as well as ordinary differential equations and partial differential equations. It not on...
Directory of Graduate Research
Faculties, publications and doctoral theses in departments or divisions of chemistry, chemical engineering, biochemistry and pharmaceutical and/or medicinal chemistry at universities in the United States and Canada.
