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- W2364883760 abstract "Discovery of motif is very important in computational biology.Missingdata methodologies have been applied to discover conserved motifs of biological sequences, such as EM algorithm,Gibbs sampling algorithm and so on.During discovering the conserved motif,most of the current algorithms assume that the length of the motif is known in advance.But in fact we don't know the motif width in advance.Here we propose to use the Gibbs sampling algorithm to discover motif with variable length, while fixing the locations of the motif." @default.
- W2364883760 created "2016-06-24" @default.
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- W2364883760 date "2010-01-01" @default.
- W2364883760 modified "2023-09-25" @default.
- W2364883760 title "A Gibbs Sampling Algorithm for Variable-Length Motif Discovery" @default.
- W2364883760 hasPublicationYear "2010" @default.
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