Ken D. Nguyen

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BACKGROUND One of the most fundamental and challenging tasks in bio-informatics is to identify related sequences and their hidden biological significance. The most popular and proven best practice method to accomplish this task is aligning multiple sequences together. However, multiple sequence alignment is a computing extensive task. In addition, the(More)
A common and cost-effective mechanism to identify the functionalities, structures, or relationships between species is multiple-sequence alignment, in which DNA/RNA/protein sequences are arranged and aligned so that similarities between sequences are clustered together. Correctly identifying and aligning these sequence biological similarities help from(More)
In this paper, we demonstrate how to implement and improve two Ant Colony Optimization (ACO) algorithms on the Optical Pipelined Reconfigurable Mesh (PR-Mesh): the generic ACO and the Fast Ant Colony Optimization (FACO) algorithm. The run-time complexity of our improved generic ACO algorithm, with x generations each generation having m ants, on an nxn(More)
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