Statistics in Human Genetics and Molecular Biology

Focusing on the roles of different segments of DNA, this book provides a basic understanding of problems arising in the analysis of genetics and genomics. With many worked examples and end-of-chapter exercises, it presents statistical applications in genetic mapping, DNA/protein sequence alignment, and analyses of gene expression data from microarray experiments. The text covers basic molecular biology, likelihood-based statistics, physical mapping, markers, linkage analysis, parametric and nonparametric linkage, sequence alignment, feature recognition, hidden Markov models, and Bayesian approaches. It also discusses differential gene expression detection as well as classification and cluster analysis using gene expression data sets.