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Low-cost sequencing has grown in demand over the years, and that has driven the development of high-throughput sequencing, also called next generation sequencing (NGS). In a parallel mode, millions of sequences are concurrently produced in a single next-generation sequencing run. NGS has become commonplace in Bioinformatics labs worldwide. Due to the commercialization of various affordable desktop sequencers, NGS has become within the reach of traditional wet-lab biologists. Not since quite long ago, genome-wide scale computational analysis is increasingly being used as a backbone to foster and nurture novel discovery in biomedical research. However, as the avalanche of sequencing output data increase exponentially, the analysis bottle-neck is yet to be solved.