从DNA到大数据:NGS技术及其应用
Reshmi Ramakrishnan1, Ashitha Washington2, S Suveena1
1GENEFiTHUB, Ernakulam, Kochi, Kerala, India.
Methods in molecular biology (Clifton, N.J.)
|June 24, 2025
概括
下一代测序 (NGS) 已经彻底改变了医疗保健研究,推动了从瘤学到太空生物学等领域的进步. 高效的大数据技术对于管理和分析越来越多的NGS数据量和复杂性至关重要.
科学领域:
- 基因组学和生物信息学
- 生物技术是生物技术.
- 计算生物学 计算生物学
背景情况:
- 在过去的十年中,下一代测序 (NGS) 数据显著增加,这是由于技术和计算的进步.
- 与人工智能 (AI) 一起,NGS正在改变医疗保健研究和各种科学学科.
研究的目的:
- 提供NGS技术及其应用的全面概述.
- 讨论NGS对COVID-19大流行和其他领域的影响.
- 探索NGS数据分析中的挑战和未来方向.
主要方法:
- 关于NGS技术的测序和演变的历史视角.
- 各种NGS方法,工作流程和关键分析阶段的概述.
- 讨论基因组学,转录组学和微生物组研究的数据分析工具和技术.
主要成果:
- 在瘤学,农业,考古遗传学和太空生物学中,NGS具有多样化的应用.
- 国家统计系统数据的激增在管理和分析方面带来了挑战.
- 国家统计系统数据的临床应用正在扩大.
结论:
- 迫切需要先进的大数据技术和工具来管理和分析复杂的NGS数据集.
- 有效的数据分析对于从基因组,转录组和微生物组研究中获得可操作的见解至关重要.
- 恩格斯继续发展,有望在科学研究和医疗保健领域取得进一步的突破.
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