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Stochastic motif discovery method for protein and gene sequences
Stochastic motif discovery method for protein and gene sequences
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机译：蛋白质和基因序列的随机基序发现方法
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摘要
PROBLEM TO BE SOLVED: To find a motif which can represent repetition positively with a probabilistic model in a short time when the motif is searched for from amino acid array data on protein and base array data on a gene. SOLUTION: A motif is generated with a pattern from given array data 10 (step 101), a parts matching the motif 11 is extracted as partial array data 12 from the array data 10 (step 102), and parts before and after the partial array data 12 are extended to generate new partial array data 13 (step 103). Then a motif 11 is generated with probability on the basis of the partial array data 13 by using a hidden Markov model (step 104). The steps 102 to 104 are repeated to find a probabilistic motif.
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