3 Motif search by genetic algorithm 

As a motif search method, genetic algorithms (GA) were adopted. GA 
realizes probabilistic search by applying genetic operations to a population of 
motif candidates represented by binary strings. The genetic operations consist 
of crossover, mutation and selection. The MDL principle plays an essential 
role in selecting good motif candidates (shorter is better). 

P.95 Figure 1
4 Parallelism in the motif extraction system Three kinds of parallelism can be exploited in the motif extraction system; trial, divide-and-conquer and data parallelism.
P.95 Figure 2
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