Next Generation Sequencing: Latent applications in clinical diagnostics with the advent of bioinformatic frameworks

For the past 3-4 decades, the discovery of Sanger's method of pyrosequencing was the only method unparalleled till 2005 being employed as a method of whole genome sequencing (WGS). Following this, a revolutionary extensive parallel sequencing method, Next Generation Sequencing (NGS), was engineered. NGS supported a substantial number of bases under a high throughput metagenomic interrogation. Bioinformatics contributed notably to this advancement. It provided alignment tools, assembly algorithms, and protocols such as Illumina and hybridization capture which have metamorphosed clinical and translational diagnostics. With the extension in precision medicine and targeted therapy under NGS sectors such as epigenetics, transcriptomics, mutation detection, prognosis, therapeutics, and patient management have been gaining progress. Using NGS in real-time clinical settings has been proven to produce positive outcomes. The most recent instrumental benefaction of NGS has been decoding the SARS-CoV-2 virus epidemiology with the assistance of multiplex PCR. So far, it had been employed to inspect different levels of viral loads from low to mid. This has been executed by amplification and phylogenetic examination of the load to raise a connective link with the evolutionary history leading up to the period of origin. The depletion in the consumed time and extensive genome size under analysis was further coupled by a cutback in the cost of sequencing while executing NGS. With the aid of this review paper, we aspire to manifest how the above-mentioned elements have boosted, tissue, microbial, and molecular data interrogation. Along with this, promoting, and stimulating an extensive evaluation and expansion in the paradigm of morphological and phenotypic study, via bioinformatics can facilitate further advancement in personalized and concise clinical research.