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.
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 Maló˛