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In this paper, we propose an efficient method of thread parallelization to accelerate the latest Quorum Planted Motif Search algorithm (qPMS9) on multi-core and many-core systems.
YH implemented and validated the motif search algorithm.
Our motif search algorithm is different from previous attempts to find modules [ 19].
They propose a motif search algorithm which helps to describe the aptamers enrichment in more detail.
All these factors need to be considered when designing an efficient structured motif search algorithm.
The motif search algorithm shall be able to find motifs containing variable regions.
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New motif search algorithms and evaluation measures are developed based on these questions.
It is notoriously difficult to choose representative negative sequence sets for evaluating motif search algorithms.
The motif search algorithms are based on Gusfield's Z-boxes (Gusfield, 1997).
One data category involves the potential target genes of bZIP TFs, which are computationally predicted using phylogenetic footprinting and motif search algorithms [ 19, 20].
Exhaustive motif search algorithms have been proposed which rely on proper heuristics and pruning of the search space, such as the approach pioneered by Marsan and Sagot [ Marsan and Sagot, 2000].
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