Chapter 1 Introduction to Hidden Markov Models and Its Applications in Biology

Chapter 2 HMMs in Protein Fold Classification

Chapter 3 Application of Hidden Markov Models in Biomolecular Simulations

Chapter 4 Predicting Beta Barrel Transmembrane Proteins Using HMMs

Chapter 6 Self-Organizing Hidden Markov Model Map (SOHMMM): Biological Sequence Clustering and Cluster Visualization

Chapter 7 Analyzing Single Molecule FRET Trajectories Using HMM

Chapter 8 Modelling ChIP-seq Data Using HMMs

Chapter 9 Hidden Markov Models in Bioinformatics: SNV Inference from Next Generation Sequence

Chapter 10 Computationally Tractable Multivariate HMM in Genome-Wide Mapping Studies

Chapter 11 Hidden Markov Models in Population Genomics

Chapter 12 Differential Gene Expression (DEX) and Alternative Splicing Events (ASE) for Temporal Dynamic Processes Using HMMs and Hierarchical Bayesian Modeling Approaches

Chapter 13 Finding RNA–Protein Interaction Sites Using HMMs

Chapter 14 Automated Estimation of Mouse Social Behaviors Based on a Hidden Markov Model

Chapter 15 Modeling Movement Primitives with Hidden Markov Models for Robotic and Biomedical Applications