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Volumn 2149, Issue , 2001, Pages 1-10

An improved model for statistical alignment

Author keywords

[No Author keywords available]

Indexed keywords

MARKOV PROCESSES; STOCHASTIC SYSTEMS;

EID: 25444461309     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44696-6_1     Document Type: Conference Paper
Times cited : (8)

References (16)
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    • Maximum likelihood alignment of DNA sequences
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    • An evolutionary model for maximum likelihood alignment of DNA sequences
    • Thorne, J.L., Kishino, H., Felsenstein, J.: An evolutionary model for maximum likelihood alignment of DNA sequences. J. Mol. Evol. 33 (1991), 114–124.
    • (1991) J. Mol. Evol , vol.33 , pp. 114-124
    • Thorne, J.L.1    Kishino, H.2    Felsenstein, J.3
  • 4
    • 0026528734 scopus 로고
    • Inching toward reality: An improved likelihood model of sequence evolution
    • Thorne, J.L., Kishino, H., Felsenstein, J.: Inching toward reality: an improved likelihood model of sequence evolution. J. Mol. Evol. 34 (1992), 3–16.
    • (1992) J. Mol. Evol , vol.34 , pp. 3-16
    • Thorne, J.L.1    Kishino, H.2    Felsenstein, J.3
  • 5
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    • Statistical alignment: Computational properties, homology testing and goodness-of-fit
    • Hein, J., Wiuf, C., Knudsen, B., Moller, M.B., Wiblig, G.: Statistical alignment: computational properties, homology testing and goodness-of-fit. J. Mol. Biol. 302 (2000), 265–279.
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    • Hein, J.1    Wiuf, C.2    Knudsen, B.3    Moller, M.B.4    Wiblig, G.5
  • 7
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    • A model for evolutionary change in proteins, matrices for detecting distant relationships
    • Dayhoff, M.O. (ed.), Cambridge University Press, Washingtown DC
    • Dayhoff, M.O., Schwartz, R.M., Orcutt, B.C.: A model for evolutionary change in proteins, matrices for detecting distant relationships. In: Dayhoff, M.O. (ed.): Atlas of Protein Sequence and Structure, Vol. 5. Cambridge University Press, Washingtown DC. (1978), 343–352.
    • (1978) Atlas of Protein Sequence and Structure , vol.5 , pp. 343-352
    • Dayhoff, M.O.1    Schwartz, R.M.2    Orcutt, B.C.3
  • 8
    • 0002671410 scopus 로고
    • Some probabilistic and statistical problems in the analysis of DNA sequences
    • Tavare, S.: Some probabilistic and statistical problems in the analysis of DNA sequences. Lec. Math. Life Sci. 17 (1986), 57–86.
    • (1986) Lec. Math. Life Sci , vol.17 , pp. 57-86
    • Tavare, S.1
  • 10
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    • A protein alignment scoring system sensitive at all evolutionary distances
    • Altschul, S.F.: A protein alignment scoring system sensitive at all evolutionary distances. J. Mol. Evol. 36 (1993), 290–300.
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  • 11
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    • Can one estimate distances from pairwise sequence alignments?
    • Bornberg-Bauer, E., Rost, U., Stoye, J., Vingron, M, Heidelberg, Logos Verlag, Berlin
    • Fleissner, R., Metzler, D., von Haeseler, A.: Can one estimate distances from pairwise sequence alignments? In: Bornberg-Bauer, E., Rost, U., Stoye, J., Vingron, M. (eds) GCB 2000, Proceedings of the German Conference on Bioinformatics, Heidelberg (2000), Logos Verlag, Berlin, 89–95.
    • (2000) GCB 2000, Proceedings of the German Conference on Bioinformatics , pp. 89-95
    • Fleissner, R.1    Metzler, D.2    Von Haeseler, A.3
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    • Algorithm for statistical alignment of sequences related by a binary tree
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    • Hein, J.: Algorithm for statistical alignment of sequences related by a binary tree. In: Altman, R.B., Dunker, A.K., Hunter, L., Lauderdale, K., Klein, T.E. (eds), Pacific Symposium on Biocomputing, World Scientific, Singapore (2001), 179–190.
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    • Hein, J.1
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    • Evolutionary HMMs: A Bayesian Approach to Multiple Alignment
    • accepted
    • Holmes, I., Bruno, W.J.: Evolutionary HMMs: A Bayesian Approach to Multiple Alignment, Bioinformatics (2001), accepted.
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    • Holmes, I.1    Bruno, W.J.2
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    • http://www.math.uni-frankfurt.de/˜stoch/software/mcmcalgn/


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