生物
基因组学
DNA测序
计算生物学
精密医学
范围(计算机科学)
数据科学
基因组
遗传学
计算机科学
基因
程序设计语言
作者
Heena Satam,Kandarp Joshi,Upasana Mangrolia,Sanober Waghoo,Gulnaz Zaidi,Shravani Rawool,Ritesh P. Thakare,Shahid Banday,Alok Mishra,Gautam Das,Sunil K. Malonia
出处
期刊:Biology
[MDPI AG]
日期:2023-07-13
卷期号:12 (7): 997-997
被引量:201
标识
DOI:10.3390/biology12070997
摘要
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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