Volume 70, Issue 2, January 2024, Pages 72–80
Suchindra Suchindra1, Preetam Nagaraj2, and Asanka Sudeshini Hewage3
1 Department of Engineering, National Institute of Mental Health and Neurosciences, Karnataka State Govt, Bangalore, India
2 Department of Engineering, IBM, Bangalore, , Ind, India
3 Institute of Biochemistry, Molecular Biology and Biotechnology, University of Colombo, Colombo, Sri Lanka
Original language: English
Copyright © 2024 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Next-generation sequencing (NGS) has the capability to produce hundreds and thousands of DNA / RNA sequences per analysis. This ability to sequence thousands of sequences at a time has brought about profound changes in genomic research. The primary aim is to see regions of similarity or variation / mutation amongst many sequences at hand. Today, NSG has reduced the time and is cost effective. This reduction of cost and time to obtain genomic data quickly has provided information on gene structure, protein structure, protein expression, genetic variations, gene expression profiles and others. This range of information has now expanded genomics research from analyzing and studying rare genetic disorders, cancer, infectious diseases like COVID, Phylogenetic trees, animal research, disease and control in husbandry, oral diseases, and metagenomic studies. The analyzed information has enabled diseases diagnosis, prognosis, targeted therapies, precision medication and other methods. The scope is not only restricted to human genome analysis but is used in disciplines like animals, and agriculture in detecting pathogens and developing new diseases resistant crops and animal breeds. Moreover, the NGS capacity to use massive parallel processing to sequence has had a major impact in pharmaceutical industry. New drugs discovery uses DNA / RNA sequencing methods to first identify mutations, to develop targeted medicine / drug development. NSG has a bright future in unlocking various mysteries and providing insights into genomic information which we have still not been able to uncover. This paper first talks about NGS techniques, challenges, techniques used, NGS uses currently, future development directions in sequenced data quality, cost, and analysis techniques.
Author Keywords: Next-generation sequencing, Genome, Exon, Gene, Phylogenetic tree, Metagenomic.
Suchindra Suchindra1, Preetam Nagaraj2, and Asanka Sudeshini Hewage3
1 Department of Engineering, National Institute of Mental Health and Neurosciences, Karnataka State Govt, Bangalore, India
2 Department of Engineering, IBM, Bangalore, , Ind, India
3 Institute of Biochemistry, Molecular Biology and Biotechnology, University of Colombo, Colombo, Sri Lanka
Original language: English
Copyright © 2024 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Next-generation sequencing (NGS) has the capability to produce hundreds and thousands of DNA / RNA sequences per analysis. This ability to sequence thousands of sequences at a time has brought about profound changes in genomic research. The primary aim is to see regions of similarity or variation / mutation amongst many sequences at hand. Today, NSG has reduced the time and is cost effective. This reduction of cost and time to obtain genomic data quickly has provided information on gene structure, protein structure, protein expression, genetic variations, gene expression profiles and others. This range of information has now expanded genomics research from analyzing and studying rare genetic disorders, cancer, infectious diseases like COVID, Phylogenetic trees, animal research, disease and control in husbandry, oral diseases, and metagenomic studies. The analyzed information has enabled diseases diagnosis, prognosis, targeted therapies, precision medication and other methods. The scope is not only restricted to human genome analysis but is used in disciplines like animals, and agriculture in detecting pathogens and developing new diseases resistant crops and animal breeds. Moreover, the NGS capacity to use massive parallel processing to sequence has had a major impact in pharmaceutical industry. New drugs discovery uses DNA / RNA sequencing methods to first identify mutations, to develop targeted medicine / drug development. NSG has a bright future in unlocking various mysteries and providing insights into genomic information which we have still not been able to uncover. This paper first talks about NGS techniques, challenges, techniques used, NGS uses currently, future development directions in sequenced data quality, cost, and analysis techniques.
Author Keywords: Next-generation sequencing, Genome, Exon, Gene, Phylogenetic tree, Metagenomic.
How to Cite this Article
Suchindra Suchindra, Preetam Nagaraj, and Asanka Sudeshini Hewage, “Next Generation Sequencing and its Future,” International Journal of Innovation and Scientific Research, vol. 70, no. 2, pp. 72–80, January 2024.
