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Next-Generation Sequencing Technology: Current Trends and Advancements

Satam, Heena
Joshi, Kandarp
Mangrolia, Upasana
Waghoo, Sanober
Zaidi, Gulnaz
Rawool, Shravani
Thakare, Ritesh P
Banday, Shahid
Mishra, Alok K
Das, Gautam
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Abstract

The advent of next-generation sequencing (NGS) has brought about a paradigm shift in genomics research, offering unparalleled capabilities for analyzing DNA and RNA molecules in a high-throughput and cost-effective manner. This transformative technology has swiftly propelled genomics advancements across diverse domains. NGS allows for the rapid sequencing of millions of DNA fragments simultaneously, providing comprehensive insights into genome structure, genetic variations, gene expression profiles, and epigenetic modifications. The versatility of NGS platforms has expanded the scope of genomics research, facilitating studies on rare genetic diseases, cancer genomics, microbiome analysis, infectious diseases, and population genetics. Moreover, NGS has enabled the development of targeted therapies, precision medicine approaches, and improved diagnostic methods. This review provides an insightful overview of the current trends and recent advancements in NGS technology, highlighting its potential impact on diverse areas of genomic research. Moreover, the review delves into the challenges encountered and future directions of NGS technology, including endeavors to enhance the accuracy and sensitivity of sequencing data, the development of novel algorithms for data analysis, and the pursuit of more efficient, scalable, and cost-effective solutions that lie ahead.

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Satam H, Joshi K, Mangrolia U, Waghoo S, Zaidi G, Rawool S, Thakare RP, Banday S, Mishra AK, Das G, Malonia SK. Next-Generation Sequencing Technology: Current Trends and Advancements. Biology (Basel). 2023 Jul 13;12(7):997. doi: 10.3390/biology12070997. Erratum in: Biology (Basel). 2024 Apr 24;13(5):286. doi: 10.3390/biology13050286. PMID: 37508427; PMCID: PMC10376292.

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DOI
10.3390/biology12070997
PubMed ID
37508427
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Copyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).