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Full-Text Articles in Physical Sciences and Mathematics
Probabilistic Analysis Of A Motif Discovery Algorithm For Multiple Sequences, Bin Fu, Ming-Yang Kao, Lusheng Wang
Probabilistic Analysis Of A Motif Discovery Algorithm For Multiple Sequences, Bin Fu, Ming-Yang Kao, Lusheng Wang
Computer Science Faculty Publications and Presentations
We study a natural probabilistic model for motif discovery that has been used to experimentally test the quality of motif discovery programs. In this model, there are k background sequences, and each character in a background sequence is a random character from an alphabet Σ. A motif G = g1g2 · · · gm is a string of m characters. Each background sequence is implanted into a probabilistically generated approximate copy of G. For an approximate copy b1b2 · · · bm of G, every character bi is probabilistically generated such that the probability for r $b_i\neq g_i$ is at …