Hidden Markov Models for Human Genes

Baldi, Pierre, Brunak, Søren, Chauvin, Yves, Engelbrecht, Jacob, Krogh, Anders

Neural Information Processing Systems 

We apply HMMs to the problem of modeling exons, intronsand detecting splice sites in the human genome. Our most interesting result so far is the detection of particular oscillatory patterns,with a minimal period ofroughly 10 nucleotides, that seem to be characteristic of exon regions and may have significant biological implications.

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