Computer Simulation in Biology: A Basic Introduction
Computer Simulation in Biology: A Basic Introduction
Bioinformatics and Computational Biology Solutions Using R and Bioconductor (Statistics for Biology and Health)
Computational Genome Analysis: An Introduction
Computational Genome Analysis: An Introduction
R Programming for Bioinformatics
R Programming for Bioinformatics
Bioconductor Case Studies
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Modern biology has become a much more quantitative science, so there is a need to teach a quantitative approach to students. I have developed a course that teaches students some approaches to constructing computational models of biological mechanisms, both deterministic and with some elements of randomness; learning how concepts of probability can help to understand important features of DNA sequences; and applying a useful set of statistical methods to analysis of experimental data. The free, open-source, cross-platform program R serves well as the computer tool for the course, because of its high-level capabilities, excellent graphics, superb statistical capabilities, extensive contributed packages, and active development in bioinformatics.