Abstract

The invention of next-generation sequencing (NGS) platforms leads to unprecedented growth of sequence data which is used in many areas including biomedical, agriculture, and basic research. The low cost and high efficiency are the key to success of NGS technologies over traditional sequencing methods which include Sanger’s chain termination method and Maxam-Gilbert’s chemical degradation method. In present scenario, these methods have been replaced by NGS technologies and applied to a variety of genomes ranging from singular to multicellular organisms. Considering the importance of sequencing in biological experiments, the present chapter focuses on the evolution of sequencing generations and the role of bioinformatics in the development of NGS data analysis pipeline. Moreover, the applications of NGS in genomics, transcriptomics, and biological and biomedical research have been discussed.

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