SeqExpressionAnalyser:用于自动端到端RNA-Seq分析的R包,从读取到微分表达式
Sanae Esskhayry1,2,3, Ouafae Kaissi2, Fouzia Radouani4
1Life and Health Sciences Laboratory, FMPT, Abdelmalek Essaadi University, Tetouan, Morocco.
Bioinformatics and biology insights
|January 28, 2026
概括
SeqExpressionAnalyser是一个新的R包,简化了RNA测序 (RNA-Seq) 数据的差异基因表达分析. 这个用户友好的工具整合了整个工作流程,使R用户能够访问复杂的分析.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 基因组学就是基因组学.
背景情况:
- 对RNA测序 (RNA-Seq) 数据的差异基因表达分析对于理解生物过程和疾病至关重要.
- 当前的工作流涉及手动组合多个工具和脚本,这耗时且不易于使用,特别是对于非专家而言.
研究的目的:
- 开发用于RNA-Seq差异基因表达分析的综合,自动化和可访问的解决方案.
- 为R用户提供一个用户友好的平台,统一整个R用户的分析过程.
主要方法:
- 开发了SeqExpressionAnalyser,这是一个R包,在Shiny框架上构建了一个Web应用程序.
- 该软件包使用户能够在FASTQ文件上进行质量控制,过,对齐,读数和微分表达式分析.
主要成果:
- SeqExpressionAnalyser为RNA-Seq数据分析提供了一个交互式和统一的平台.
- 该工具生成全面的输出,包括数据表,HTML报告和可视化.
- 源代码可在GitHub上获得GPLv3许可,并提供了Docker图像.
结论:
- SeqExpressionAnalyser解决了对RNA-Seq差异基因表达分析的可访问和自动化解决方案的需求.
- 该套件使R用户,包括非专家,能够高效地进行复杂的分析.
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