An Introduction to Probability One Random Variable * An Introduction to Probability Many Random Variables * An Introduction to Statistical Inference * Stochastic An Introduction to Poisson Processes and Markov Chains * The Analysis of DNA Sequence One sequence * The Analysis of DNA Multiple sequences * Stochastic Random Walks * Classical Estimation and Hypothesis Testing * BLAST * Stochastic Markov Chains * Hidden Markov Models * Computationally intensive methods * Evolutionary models * Phylogenetica tree estimation
Very dense, but good, introduction to statistical methods in bioinformatics. I read most of chapter 1 and chapter 3 and they helped me understand the material for my class WAY better. I may return to this book later in the semester if I get lost again.