Gibbs sampler for statistical multiple alignment

Jensen, JL; Hein, J

Abstract:

For a set of sequences, related by a binary tree, that have evolved according to the Thorne-Kishino-Felsenstein model, a Gibbs sampler is presented for simulating the ancestral sequences and their alignments. The updating step consists in updating the ancestral sequence and its three alignments within a 3-star tree. We compare the Gibbs sampler with the algorithm suggested recently by Holmes and Bruno.

Publication status:

Published

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APA Style

Jensen, J. L., & Hein, J. (2005). Gibbs sampler for statistical multiple alignment. STATISTICA SINICA, 15(4), 889–907.

MLA Style

Jensen, J. L., and J. Hein. “Gibbs Sampler for Statistical Multiple Alignment.” STATISTICA SINICA, vol. 15, no. 4, 2005, pp. 889–907.

Chicago Style

Jensen, JL, and J Hein. 2005. “Gibbs Sampler for Statistical Multiple Alignment.” STATISTICA SINICA 15 (4): 889–907.
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