The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Maximum Discrimination Hidden Markov Models of Sequence Consensus
Abstract
We introduce a maximum discrimination method for building hidden Markov models (HMMs) of protein or nucleic acid primary sequence consensus. The method compensates for biased representation in sequence data sets, superseding the need for sequence weighting methods. Maximum discrimination HMMs are more sensitive for detecting distant sequence homologs than various other HMM methods or BLAST when tested on globin and protein kinase catalytic domain sequences.
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Cites
A tutorial on hidden Markov models and selected applications in speech recognition
Rabiner, L. R. (1989) · Proceedings of the IEEE · doi:10.1109/5.18626 · Cited by 22,743
Cited by
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Altschul, S. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.17.3389 · Cited by 73,302
Large-scale analysis of the human and mouse transcriptomes
Su, A. I., Cooke, M. P., Ching, K. A., Hakak, Y., Walker, J. R., Wiltshire, T., Orth, A. P., Vega, R. G., Sapinoso, L. M., Moqrich, A., et al. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.012025199 · Cited by 1,466
eggNOG v4.0: nested orthology inference across 3686 organisms
Powell, S., Forslund, K., Szklarczyk, D., Trachana, K., Roth, A., Huerta-Cepas, J., Gabaldón, T., Rattei, T., Creevey, C., Kuhn, M., et al. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1253 · Cited by 652
An HMM model for coiled-coil domains and a comparison with PSSM-based predictions
Delorenzi, M., & Speed, T. (2002) · Bioinformatics · doi:10.1093/bioinformatics/18.4.617 · Cited by 479
Glanville, J., Zhai, W., Berka, J., Telman, D., Huerta, G., Mehta, G. R., Ni, I., Mei, L., Sundar, P. D., Day, G. M. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0909775106 · Cited by 440
Metadata
- Authors
- EDDY, S. R., MITCHISON, G., & DURBIN, R.
- Venue
- Journal of Computational Biology
- Publisher
- SAGE Publications
- Published
- 1995-01
- Volume
- 2
- Issue
- 1
- Pages
- 9-23
- ISSN
- 1066-5277 (ISSN-L)
- 1557-8666
- OpenAlex
- W2048102092
- Cited by
- 246
- References
- 1
- FWCI
- 7.46
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- EDDY, S. R., MITCHISON, G., & DURBIN, R. (1995). Maximum Discrimination Hidden Markov Models of Sequence Consensus. Journal of Computational Biology. https://doi.org/10.1089/cmb.1995.2.9
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
