An introduction to hidden Markov models.

作者: Benjamin Schuster-Böckler , Alex Bateman

DOI: 10.1002/0471250953.BIA03AS18

关键词:

摘要: This unit introduces the concept of hidden Markov models in computational biology. It describes them using simple biological examples, requiring as little mathematical knowledge possible. The also presents a brief history and an overview their current applications before concluding with discussion limitations.

参考文章(13)
Benjamin Schuster-Böckler, Jörg Schultz, Sven Rahmann, HMM Logos for visualization of protein families BMC Bioinformatics. ,vol. 5, pp. 7- 7 ,(2004) , 10.1186/1471-2105-5-7
Leonard E. Baum, Ted Petrie, Statistical Inference for Probabilistic Functions of Finite State Markov Chains Annals of Mathematical Statistics. ,vol. 37, pp. 1554- 1563 ,(1966) , 10.1214/AOMS/1177699147
P. Baldi, Y. Chauvin, T. Hunkapiller, M. A. McClure, Hidden Markov models of biological primary sequence information Proceedings of the National Academy of Sciences of the United States of America. ,vol. 91, pp. 1059- 1063 ,(1994) , 10.1073/PNAS.91.3.1059
Irmtraud M Meyer, Richard Durbin, Gene structure conservation aids similarity based gene prediction Nucleic Acids Research. ,vol. 32, pp. 776- 783 ,(2004) , 10.1093/NAR/GKH211
Sean R Eddy, What is a hidden Markov model Nature Biotechnology. ,vol. 22, pp. 1315- 1316 ,(2004) , 10.1038/NBT1004-1315
Ewan Birney, Michele Clamp, Richard Durbin, GeneWise and Genomewise Genome Research. ,vol. 14, pp. 988- 995 ,(2004) , 10.1101/GR.1865504
L.R. Rabiner, A tutorial on hidden Markov models and selected applications in speech recognition Proceedings of the IEEE. ,vol. 77, pp. 267- 296 ,(1989) , 10.1109/5.18626
B. Schuster-Bockler, A. Bateman, Visualizing profile–profile alignment: pairwise HMM logos Bioinformatics. ,vol. 21, pp. 2912- 2913 ,(2005) , 10.1093/BIOINFORMATICS/BTI434
J. Soding, Protein homology detection by HMM--HMM comparison Bioinformatics. ,vol. 21, pp. 951- 960 ,(2005) , 10.1093/BIOINFORMATICS/BTI125
Alexander V Lukashin, Mark Borodovsky, GeneMark.hmm: New solutions for gene finding Nucleic Acids Research. ,vol. 26, pp. 1107- 1115 ,(1998) , 10.1093/NAR/26.4.1107