下一代测序:随着生物信息框架的出现,临床诊断中的潜在应用
Priya Thapliyal1, Vijayalaxmi Sah2, Indra Rautela2
1Department of Biochemistry, H.N.B. Garhwal (A Central) University, Srinagar, Uttarakhand 246174, India.
Pathology, research and practice
|October 2, 2024
概括
下一代测序 (NGS) 彻底改变了全基因组测序,使得高通量分析和推进精确医学成为可能. 这项技术,在生物信息学的帮助下,已经改变了诊断,对于理解病毒流行病学至关重要,比如SARS-CoV-2.
科学领域:
- 基因组学和生物信息学
- 分子生物学分子生物学
- 临床诊断 临床诊断 临床诊断
背景情况:
- 桑格测序在整个基因组测序中占主导地位数十年,直到2005年.
- 下一代测序 (NGS) 作为一种革命性的高通量并行测序方法出现.
- 生物信息学工具和协议显著提升了测序能力.
研究的目的:
- 审查NGS和生物信息学在各个领域的影响.
- 突出NGS在推进精准医学和临床诊断方面的作用.
- 展示NGS在理解病毒流行病学和进化史方面的应用.
主要方法:
- 使用NGS.高通量元基因组质询.
- 生物信息学工具的应用用于对齐和组装.
- 使用多重PCR和遗传学分析用于病毒流行病学.
主要成果:
- NGS已经改变了临床和翻译诊断.
- 在表观遗传学,转录组学,突变检测和患者管理方面取得了进展.
- NGS促进了SARS-CoV-2流行病学和病毒载荷分析的解码.
结论:
- NGS和生物信息学显著提高了组织,微生物和分子数据的审讯.
- 这些进展支持扩大形态学和表型学研究.
- 生物信息学的进一步发展可以推动个性化和简洁的临床研究.
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