An evolutionary model for maximum likelihood alignment of DNA sequences - PubMed (original) (raw)
An evolutionary model for maximum likelihood alignment of DNA sequences
J L Thorne et al. J Mol Evol. 1991 Aug.
Erratum in
- J Mol Evol 1992 Jan;34(1):91
Abstract
Most algorithms for the alignment of biological sequences are not derived from an evolutionary model. Consequently, these alignment algorithms lack a strong statistical basis. A maximum likelihood method for the alignment of two DNA sequences is presented. This method is based upon a statistical model of DNA sequence evolution for which we have obtained explicit transition probabilities. The evolutionary model can also be used as the basis of procedures that estimate the evolutionary parameters relevant to a pair of unaligned DNA sequences. A parameter-estimation approach which takes into account all possible alignments between two sequences is introduced; the danger of estimating evolutionary parameters from a single alignment is discussed.
References
- J Mol Biol. 1982 Dec 15;162(3):705-8 - PubMed
- J Mol Evol. 1985;22(2):160-74 - PubMed
- Proc Natl Acad Sci U S A. 1983 Mar;80(5):1382-6 - PubMed
- J Mol Evol. 1980 Dec;16(2):111-20 - PubMed
- J Mol Biol. 1970 Mar;48(3):443-53 - PubMed
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