<p>Designed for a one or two semester senior undergraduate or graduate bioinformatics course, <i>Statistical Bioinformatics</i> 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  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. </p> <p><b>Ancillary list:</b> * Online ISM- http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123751041 * Companion Website w/ R code and Ebook- http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123751041 * Powerpoint slides- http://textbooks.elsevier.com/web/Manuals.aspx?isbn=9780123751041</p><ul><li>Integrates biological, statistical and computational concepts</li><li>Inclusion of R & SAS code</li><li>Provides coverage of complex statistical methods in context with applications in bioinformatics</li><li>Exercises and examples aid teaching and learning presented at the right level</li><li>Bayesian methods and the modern multiple testing principles in one convenient book</li></ul>