Hidden Markov Models : Methods and Protocols - Westhead, David R.; Vijayabaskar, M. S.; SpringerLink (Online service) (New York, NY : Springer New York : Imprint: Humana, 2017)
Introduction to Hidden Markov Models and its Applications in Biology -- HMMs in Protein Fold Classification -- Application of Hidden Markov Models in Biomolecular Simulations -- Predicting Beta Barrel Transmembrane Proteins using HMMs -- Predicting Alpha Helical Transmembrane Proteins using HMMs -- Self-Organizing Hidden Markov Model Map (SOHMMM): Biological Sequence Clustering and Cluster Visualization -- Analyzing Single Molecule FRET Trajectories using HMM -- Modelling ChIP-seq Data using HMMs -- Hidden Markov Models in Bioinformatics: SNV Inference from Next Generation Sequence -- Computationally Tractable Multivariate HMM in Genome-wide Mapping Studies -- Hidden Markov Models in Population Genomics -- Differential Gene Expression (DEX) and Alternative Splicing Events (ASE) for Temporal Dynamic Processes using HMMs and Hierarchical Bayesian Modeling Approaches -- Finding RNA-Protein Interaction Sites using HMM -- Automated Estimation of Mouse Social Behaviours Based on a Hidden Markov Model -- Modeling Movement Primitives with Hidden Markov Models for Robotic and Biomedical Applications. .
Keywords: Bioinformatics; Bioinformatics