Developing the Performance of Tiling Arrays

Genomic tiling arrays are able to inspect the genome of haphazard species for which the sequence is known. The plan of proper oligonucleotide probes for such arrays is computationally difficult if features such as oligonucleotide quality and recurring regions are considered. Prior works have developed the minimal tiling path problem for the choice of oligonucleotides using Dijkstra’s shortest path algorithm to compute universal finest tiling paths from millions of candidate oligonucleotides on computers. Although Dijkstra’s algorithm works well, it is complicated and may take a long time for routers to process it and the efficiency of the network fails. In this paper, the author discusses a search approach that can decrease the average complexity time of tilling arrays. This aspiration is realized by searching for the shortest path to the probes using a faster algorithm. This paper enhances A* Algorithm and exploits the enhanced version, called A**, instead of Dijkstra’s algorithm. The enhanced version is more efficient and can decrease the average time complexity, thus increasing the performance of tiling array.