Abstract

In the present era, genomics represent a crucial role in the field of life sciences. Advancements in genomics and the development of high-throughput techniques facilitate the characterization of a wide range of genes according to their functions such as regulation of genes, metabolic pathways, and their reconstruction. In the era of genomics we face the challenge of storage and analysis of a huge amount of important data. Even in this early stage of the era there are many commercial techniques and tools/software available to analyze next-generation sequencing (NGS) data. All of these programs can be used for many uses such as sequence alignments, polymorphism detection, and functional and structural comparative genomics. In this chapter, we focus on advances in bioinformatics and also computational biology in genome sequencing and NGS data analysis and on the potential applications for the efficient collection, storage, and analysis of the huge amount of genomic data generated by researchers and the information retrieved from different sources and web browsers in relation to NGS analysis.

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