基本RNA测序数据处理和转录组分析指南
Rowayna Shouib1, Gary Eitzen2, Rineke Steenbergen2
1Faculty of Biotechnology, October University for Modern Sciences and Arts (MSA), Giza, Egypt.
Bio-protocol
|May 14, 2025
概括
本指南为研究人员简化了RNA测序 (RNA-Seq) 数据分析. 它提供了一个初学者友好的协议来分析下一代测序 (NGS) 数据,识别基因表达,并可视化结果.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
- 分子生物学分子生物学
背景情况:
- RNA测序 (RNA-Seq) 是一种分析细胞mRNA水平的强大技术.
- 分析下一代测序 (NGS) 数据存在挑战,特别是对于那些没有生物信息学专业知识的人来说.
- 需要标准化的协议来使RNA-Seq分析易于使用.
研究的目的:
- 为了提供一个初学者友好的,一步一步的协议来分析RNA-Seq数据.
- 引导研究人员通过从原始 .fastq 文件到基因表达洞察的计算工作流.
- 为了使差异表达基因 (DEGs) 的识别和可视化.
主要方法:
- 该协议详细介绍了一个计算工作流程,包括质量控制,读取修剪和基因组对齐.
- 它涵盖了基因量化,以确定样本中的mRNA水平.
- 解释了使用R的数据可视化,包括热图和火山图.
主要成果:
- 工作流产生必要的输出文件,如计数文件和DEG列表.
- 研究人员可以生成热图和火山图,以可视化基因表达模式.
- 该协议有助于全面了解mRNA水平和基因组.
结论:
- 该协议使RNA-Seq数据分析为缺乏生物信息学背景的研究人员提供了民主化.
- 它使科学家能够从NGS数据中获得对基因表达的有意义的见解.
- 描述的方法和可视化工具有助于解释转录组研究结果.
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