Parallelization of star alignment

Pair-wise sequence alignment is a technique of comparing the similarity of two organisms. It is the basic technique in DNA sequence alignment. There is an extraordinary number of data sequences when they are compared. Problems when comparing the huge data sequences are accuracy and efficiency. These parameters are contradiction which means reaching faster speed will decrease accuracy, and vice versa. Older method such as Needleman-Wunchs has extremely high computational complexity of O(n
²
). Similarly, multiple sequence alignment that processes the sequences one by one, called Star Alignment, takes time until O(k
²
n
²
). Therefore, they have a timing issue problem while processing the data. However, the computation result still has high accuracy. Consequently, it is very important to get a better way to improve the performance. One of the methods for increasing the speed is parallel computation by using multiple computers work together as a system. This research focuses on finding a faster method to process multiple sequence alignment using the Star method with a parallel computer. Our proposed method is implemented using Message Passing Interface (MPI). The results show that the paralellization of the Star Alignment increased speed up 4-6 times compared to that of using single CPU.