Hidden Markov models : methods and protocols
著者
書誌事項
Hidden Markov models : methods and protocols
（Methods in molecular biology / John M. Walker, series editor, v. 1552）（Springer protocols）
Humana Press, c2017
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
This volume aims to provide a new perspective on the broader usage of Hidden Markov Models (HMMs) in biology. Hidden Markov Models: Methods and Protocols guides readers through chapters on biological systems; ranging from single biomolecule, cellular level, and to organism level and the use of HMMs in unravelling the complex mechanisms that govern these complex systems. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Authoritative and practical, Hidden Markov Models: Methods and Protocols aims to demonstrate the impact of HMM in biology and inspire new research.
目次
1. Introduction to Hidden Markov Models and its Applications in Biology
M S Vijayabaskar
2. HMMs in Protein Fold Classification
Christos Lampros, Costas Papaloukas, Themis Exarchos, and Dimitrios I. Fotiadis
3. Application of Hidden Markov Models in Biomolecular Simulations
Saurabh Shukla, Zahra Shamsi, Alexander S. Moffett, Balaji Selvam, and Diwakar Shukla
4. Predicting Beta Barrel Transmembrane Proteins using HMMs
Georgios N. Tsaousis, Stavros J. Hamodrakas , and Pantelis G. Bagos
5. Predicting Alpha Helical Transmembrane Proteins using HMMs
Georgios N. Tsaousis, Margarita C. Theodoropoulou, Stavros J. Hamodrakas, and Pantelis G. Bagos
6. Self-Organizing Hidden Markov Model Map (SOHMMM): Biological Sequence Clustering and Cluster Visualization
Christos Ferles, William-Scott Beaufort, and Vanessa Ferle
7. Analyzing Single Molecule FRET Trajectories using HMM
Kenji Okamoto
8. Modelling ChIP-seq Data using HMMs
Veronica Vinciotti
9. Hidden Markov Models in Bioinformatics: SNV Inference from Next Generation Sequence
Jiawen Bian and Xiaobo Zhou
10. Computationally Tractable Multivariate HMM in Genome-wide Mapping Studies
Hyungwon Choi, Debashis Ghosh, and Zhaohui Qin
11. Hidden Markov Models in Population Genomics
Julien Y. Dutheil
12. Differential Gene Expression (DEX) and Alternative Splicing Events (ASE) for Temporal Dynamic Processes using HMMs and Hierarchical Bayesian Modeling Approaches
Sunghee Oh and Seongho Song
13. Finding RNA-Protein Interaction Sites using HMM
Tao Wang, Jonghyun Yun, Yang Xie, and Guanghua Xiao
14. Automated Estimation of Mouse Social Behaviours Based on a Hidden Markov Model
Toshiya Arakawa, Akira Tanave, Aki Takahashi, Satoshi Kakihara, Tsuyoshi Koide, and Takashi Tsuchiya
15. Modeling Movement Primitives with Hidden Markov Models for Robotic and Biomedical Applications
Michelle Karg and Dana Kulic
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