Statistical Bioinformatics provides a balanced treatment of statistical theory in the context of bioinformatics applications.

Designed for a one or two semester senior undergraduate or graduate bioinformatics course, the text takes a broad view of the subject – not just gene expression and sequence analysis, but a careful balance of statistical theory in the context of bioinformatics applications.

The inclusion of R & SAS code as well as the development of advanced methodology such as Bayesian and Markov models provides students with the important foundation needed to conduct bioinformatics.

Key Features

• Integrates biological, statistical and computational concepts
• Inclusion of R & SAS code
• Provides coverage of complex statistical methods in context with applications in bioinformatics
• Exercises and examples aid teaching and learning presented at the right level
• Bayesian methods and the modern multiple testing principles in one convenient book