This book provides an introductory account of probability theory, statistics and stochastic process theory appropriate to computational biology and bioinformatics.

There was a real need for a book that introduces statistics and probability as they apply to bioinformatics. This book presents an accessible introduction to elementary probability and statistics and describes the main statistical applications in the field.

An Introduction to Probability Theory: One Random Variable * An Introduction to Probability Theory: Many Random Variables * Statistics: An Introduction to Statistical Inference * Stochastic Processes: An Introduction to Poisson Processes and Markov Chains * The Analysis of DNA Sequence Patterns: One sequence * The Analysis of DNA Sequences: Multiple sequences * Stochastic Processes: Random Walks * Statistics: Classical Estimation and Hypothesis Testing * BLAST * Stochastic Processes: Markov Chains * Hidden Markov Models * Computationally intensive methods * Evolutionary models * Phylogenetica tree estimation