Hidden Markov Models [E-Book] : Methods and Protocols / edited by David R. Westhead, M. S. Vijayabaskar.
Vijayabaskar, M. S., (editor)
Westhead, David R., (editor)
New York, NY : Humana Press, 2017
X, 221 p. 59 illus., 17 illus. in color. online resource.
englisch
9781493967537
10.1007/978-1-4939-6753-7
Methods in molecular biology ; 1552
Full Text
Table of Contents:
  • 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. .