Dirichlet mixtures: a method for improved detection of weak but significant protein sequence homology

Abstract

We present a method for condensing the information in multiple alignments of proteins into a mixture of Dirichlet densities over amino acid distributions. Dirichlet mixture densities are designed to be combined with observed amino acid frequencies to form estimates of expected amino acid probabilities at each position in a profile, hidden Markov model or… (More)
DOI: 10.1093/bioinformatics/12.4.327

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@article{Sjlander1996DirichletMA, title={Dirichlet mixtures: a method for improved detection of weak but significant protein sequence homology}, author={Kimmen Sj{\"{o}lander and Kevin Karplus and Michael Brown and Richard Hughey and Anders Krogh and I. Saira Mian and David Haussler}, journal={Computer applications in the biosciences : CABIOS}, year={1996}, volume={12 4}, pages={327-45} }