Dirichlet mixtures: a method for improved detection of weak but significant protein sequence homology
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David Haussler | Anders Krogh | Michael Brown | Kimmen Sjölander | I. Saira Mian | Richard Hughey | Kevin Karplus | D. Haussler | K. Karplus | R. Hughey | A. Krogh | I. Mian | K. Sjölander | Michael Brown | Kimmen Sjölander | I. Mian
[1] I. S. Gradshteyn,et al. Table of Integrals, Series, and Products , 1976 .
[2] Richard O. Duda,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.
[3] Peter E. Hart,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.
[4] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[5] M. O. Dayhoff,et al. 22 A Model of Evolutionary Change in Proteins , 1978 .
[6] M. Gribskov,et al. The codon preference plot: graphic analysis of protein coding sequences and prediction of gene expression , 1984, Nucleic Acids Res..
[7] M. Waterman,et al. Line geometries for sequence comparisons , 1984 .
[8] R. Doolittle. Of urfs and orfs : a primer on how to analyze devised amino acid sequences , 1986 .
[9] A. D. McLachlan,et al. Profile analysis: detection of distantly related proteins. , 1987, Proceedings of the National Academy of Sciences of the United States of America.
[10] J. Berger. Statistical Decision Theory and Bayesian Analysis , 1988 .
[11] Steven J. Nowlan,et al. Maximum Likelihood Competitive Learning , 1989, NIPS.
[12] D. G. Simpson,et al. The Statistical Analysis of Discrete Data , 1989 .
[13] A. Persechini,et al. The EF-hand family of calcium-modulated proteins , 1989, Trends in Neurosciences.
[14] G. Churchill. Stochastic models for heterogeneous DNA sequences. , 1989, Bulletin of mathematical biology.
[15] D. G. George,et al. Mutation data matrix and its uses. , 1990, Methods in enzymology.
[16] M. Gribskov,et al. [9] Profile analysis , 1990 .
[17] S. Henikoff,et al. Finding protein similarities with nucleotide sequence databases. , 1990, Methods in enzymology.
[18] P. Argos,et al. Weighting aligned protein or nucleic acid sequences to correct for unequal representation. , 1990, Journal of molecular biology.
[19] E. Myers,et al. Basic local alignment search tool. , 1990, Journal of molecular biology.
[20] M. Sternberg,et al. Flexible protein sequence patterns. A sensitive method to detect weak structural similarities. , 1990, Journal of molecular biology.
[21] A. A. Reilly,et al. An expectation maximization (EM) algorithm for the identification and characterization of common sites in unaligned biopolymer sequences , 1990, Proteins.
[22] C. Sander,et al. Database of homology‐derived protein structures and the structural meaning of sequence alignment , 1991, Proteins.
[23] A. D. McLachlan,et al. Secondary structure‐based profiles: Use of structure‐conserving scoring tables in searching protein sequence databases for structural similarities , 1991, Proteins.
[24] S. Henikoff,et al. Automated assembly of protein blocks for database searching. , 1991, Nucleic acids research.
[25] D. Eisenberg,et al. A method to identify protein sequences that fold into a known three-dimensional structure. , 1991, Science.
[26] S. Altschul. Amino acid substitution matrices from an information theoretic perspective , 1991, Journal of Molecular Biology.
[27] S. Henikoff,et al. Amino acid substitution matrices from protein blocks. , 1992, Proceedings of the National Academy of Sciences of the United States of America.
[28] G. Stormo,et al. Expectation maximization algorithm for identifying protein-binding sites with variable lengths from unaligned DNA fragments. , 1992, Journal of molecular biology.
[29] William R. Taylor,et al. The rapid generation of mutation data matrices from protein sequences , 1992, Comput. Appl. Biosci..
[30] D. Haussler,et al. Protein modeling using hidden Markov models: analysis of globins , 1993, [1993] Proceedings of the Twenty-sixth Hawaii International Conference on System Sciences.
[31] Collin M. Stultz,et al. Structural analysis based on state‐space modeling , 1993, Protein science : a publication of the Protein Society.
[32] Jean-Michel Claverie,et al. Information Enhancement Methods for Large Scale Sequence Analysis , 1993, Comput. Chem..
[33] Satoru Hayamizu,et al. HMM with protein structure grammar , 1993, [1993] Proceedings of the Twenty-sixth Hawaii International Conference on System Sciences.
[34] David Haussler,et al. Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families , 1993, ISMB.
[35] S Henikoff,et al. Performance evaluation of amino acid substitution matrices , 1993, Proteins.
[36] Richard Hughey,et al. Massively Parallel Biosequence Analysis , 1993 .
[37] Julie Dawn Thompson,et al. Improved sensitivity of profile searches through the use of sequence weights and gap excision , 1994, Comput. Appl. Biosci..
[38] Pierre Baldi,et al. Smooth On-Line Learning Algorithms for Hidden Markov Models , 1994, Neural Computation.
[39] D. Haussler,et al. Hidden Markov models in computational biology. Applications to protein modeling. , 1993, Journal of molecular biology.
[40] M. S. Johnson,et al. Residue–Residue contact substitution probabilities derived from aligned three‐dimensional structures and the identification of common folds , 1994, Protein science : a publication of the Protein Society.
[41] J. Thompson,et al. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. , 1994, Nucleic acids research.
[42] S. Altschul,et al. Detection of conserved segments in proteins: iterative scanning of sequence databases with alignment blocks. , 1994, Proceedings of the National Academy of Sciences of the United States of America.
[43] Jean-Michel Claverie,et al. Some Useful Statistical Properties of Position-weight Matrices , 1994, Comput. Chem..
[44] S. Henikoff,et al. Position-based sequence weights. , 1994, Journal of molecular biology.
[45] Sean R. Eddy,et al. Maximum Discrimination Hidden Markov Models of Sequence Consensus , 1995, J. Comput. Biol..
[46] Sean R. Eddy,et al. Multiple Alignment Using Hidden Markov Models , 1995, ISMB.
[47] R. Fleischmann,et al. Whole-genome random sequencing and assembly of Haemophilus influenzae Rd. , 1995, Science.
[48] K. Karplus. REGULARIZERS FOR ESTIMATING DISTRIBUTIONS OF AMINO ACIDS FROM SMALL SAMPLES , 1995 .
[49] Charles Elkan,et al. The Value of Prior Knowledge in Discovering Motifs with MEME , 1995, ISMB.
[50] S. Eddy. Hidden Markov models. , 1996, Current opinion in structural biology.
[51] B A Shapiro,et al. Complementary classification approaches for protein sequences. , 1996, Protein engineering.
[52] Kevin Karplus,et al. A Flexible Motif Search Technique Based on Generalized Profiles , 1996, Comput. Chem..
[53] Jorja G. Henikoff,et al. Using substitution probabilities to improve position-specific scoring matrices , 1996, Comput. Appl. Biosci..
[54] Anders Krogh,et al. Hidden Markov models for sequence analysis: extension and analysis of the basic method , 1996, Comput. Appl. Biosci..