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The broadcasting of bioinformatics has caused several recently developed determinations in living creatures. This determination would be incomplete without the innovation of genomic sequence alignment. Since the genome sequence alignment is vast and computational intense in biological sequence. Parallelization is a method where the computation of genome sequence can have less mathematical representation, which can be executed in limited cost and time. MapReduce Framework helps us to achieve the parallelization of data which works in serial manner. In this paper, Introduction of smith-waterman algorithm which works parallel on Hadoop-Mapreduce platform for the genome sequence alignment in bioinformatics

A bigdata approach-parallelization of gene data using smith-waterman algorithm on hadoop platform