By: Sunil K Mathur, Daryl S Paulson and Brian E White
400 pages, 100 black & white illustrations
Fundamentals of Statistical Bioinformatics provides an understanding of biological mechanisms and presents the most current techniques to analyze data obtained through different technologies. This book offers the foundations of mathematics, statistics, biology, and computer science needed to understand the methods presented in the text. Developing concepts from the introductory to the advanced level, the text provides detailed coverage of modern analytical techniques such as Markov chain Monte Carlo (MCMC) and Bayesian methods. It also addresses useful Web-based tools like CDART and provides a working knowledge of the R language and the codes available for analyzing sequences.
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