Statistical Bioinformatics with R,
Edition 1
By Sunil K. Mathur

Publication Date: 12 Jan 2010

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
About the author
By Sunil K. Mathur, Director, Statistical Computing and Consulting Center University of Mississippi, Oxford, USA
Book details
ISBN: 9780123751041
Page Count: 336
Retail Price : £47.99

Baxevanis & Ouellette, Bioinformatics: A Proactical Guide to the Analysis of Genes and Proteins, 2E, Wiley, ISBN: 9780471478782, 540 pp, HB, $103.50, 2004

Ewens & Grant, Statistical Methods in Bioinformatics: An Introduction, Springer, ISBN: 9780387400822, 588 pp, HB, $94.95, 2005

Durbin, et al, Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids, CUP, ISBN: 9780521629713, 356 pp, PB, $60.00, 1999

Polanski & Kimmel, Bioinformatics, Springer, ISBN: 9783540241669, 376 pp, HB, $69.95, 2007

Senior undergraduate and graduate level students taking a one or two semester course in bioinformatics