Hidden Markov Models in Computational Biology

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Our Final Report (3MB PDF!)

Our Final Report (500K doc)

General Overview

  1. Easy HMM by Anthony Fejes
  2. PPT Presentation from NYU

Bibliography

  1. L. R. Rabiner, A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition , Proceedings of the IEEE, 77 , no. 2, 257--285, February 1989.
  2. Krogh, A., M. Brown, I.S. Mian, K. Sjolander, and D. Haussler. Hidden Markov Models in Computational Biology: Applications to Protein Modeling, J. Mol. Biol., Vol. 235, pp.1501-1531, 1994.
  3. Baldi, P., Chauvin, Y., Hunkapiller, T. and McClure, M.A. (1993) "Hidden Markov Models in Molecular Biology: New Algorithms and Applications," In Advances in Neural Information Processing Systems 5, Eds. S.J. Hanson, J.D. Cowan and C. Lee Giles, (Morgan Kaufmann) pp 747-754
  4. Baldi, P., Chauvin, Y., Hunkapiller, T., and McClure, M.A. (1994) "Hidden Markov Models of Biological Primary Sequence Information," Proceedings of the National Academy of Science, USA 91: 1059-1063.
  5. David Kulp, David Haussler, Martin G. Reese, and Frank H. Eeckman, A generalized hidden markov model for the recognition of human genes in DNA, Procedings of the Fourth International Conference on Intelligent Systems for Molecular Biology (Menlo Park, CA), AAAI Press, 1996.
  6. Henderson,J., Salzberg,S. and Fasman,K. Finding genes in human DNA with a hidden Markov model. Journal of Computational Biology 1997, 4, 127--141.
  7. S. Eddy. Profile hidden Markov models. Bioinformatics, 14:755--763, 1998.
  8. "An Introduction to Hidden Markov Models for Biological Sequences" by A. Krogh. In S. L. Salzberg et al., eds., Computational Methods in Molecular Biology, 45-63. Elsevier, 1998.