Bayesian Sequence Alignment
Bayesian sequence alignment treats the alignment of biological sequences (DNA, RNA, or protein) as a probabilistic inference problem rather than a deterministic optimization. Instead of returning a single best alignment, it samples from a posterior distribution over all plausible alignments given a substitution model and gap penalty priors, thereby quantifying alignment uncertainty. It is particularly valuable when downstream analyses such as phylogenetic inference or functional annotation are sensitive to alignment error.
Rekodi ya chanzo
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- Redelings, B. D., & Suchard, M. A. (2005). Joint Bayesian estimation of alignment and phylogeny. Systematic Biology, 54(3), 401–418. · URL
- Holmes, I., & Bruno, W. J. (2001). Evolutionary HMMs: a Bayesian approach to multiple alignment. Bioinformatics, 17(9), 803–820. · URL
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