差异基因表达分析管道和生物信息工具用于特定生物标记物的识别:一篇综述
Diletta Rosati1,2,3, Maria Palmieri2,3, Giulia Brunelli3
1Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy.
Computational and structural biotechnology journal
|March 21, 2024
概括
生物信息学和奥米克技术对于确定精准医学中的生物标志物至关重要. 本综述考察了RNA测序数据的差异基因表达分析方法,突出了它们在药物发现方面的优缺点.
科学领域:
- 生物医学和医疗保健
- 计算生物学 计算生物学
- 生物信息学是一种生物信息学.
背景情况:
- 奥米克技术和转录学在生物医学中变得越来越重要.
- 差异基因表达 (DGE) 分析是RNA测序 (RNA-seq) 数据的关键方法.
- 识别生物标志物对于精准医学和药物发现至关重要.
研究的目的:
- 审查差异基因表达 (DGE) 分析管道.
- 讨论生物标志物识别的生物信息技术.
- 评估这些技术的优点和缺点.
主要方法:
- 专注于差异基因表达 (DGE) 分析.
- 使用RNA测序 (RNA-seq) 数据处理.
- 将功能丰富分析纳入基因列表注释.
主要成果:
- DGE分析通过样本集识别不同表达的基因.
- 功能性丰富提供了有关疾病的生物过程的见解.
- 生物标记物识别有助于发现治疗的分子标.
结论:
- 生物信息学和DGE分析是生物医学研究中的强大工具.
- 了解DGE技术对于推进精准医学至关重要.
- 本综述提供了对DGE分析方法的比较概述.
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