KinoViz:一种用户友好的网络应用程序,用于癌症研究中的高通量基因组分析和可视化
Ehsan Saghapour1, Joshua C Anderson1, Jake Y Chen1
1The University of Alabama at Birmingham.
Research square
|July 9, 2025
概括
KinoViz简化了复杂的基因组分析数据的分析. 这个网络应用程序为研究人员提供交互工具,可视化和解释激酶活性,加速药物发现.
科学领域:
- 生物化学 生物化学
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 激酶是调节细胞过程的关键信号蛋白,使它们成为癌症的关键标.
- 测量激酶活性和抑制剂有效性对于癌症研究和药物开发至关重要.
- 现有的高通量基因组分析产生复杂的数据,需要专门的生物信息学专业知识.
研究的目的:
- 开发一个可访问的基于Web的应用程序,KinoViz,用于分析和可视化基因组数组数据.
- 为了弥合复杂的动态数据集和缺乏先进计算技能的研究人员之间的差距.
- 为了快速解释激酶活性和进行比较分析.
主要方法:
- 开发KinoViz,一个用户友好的,基于Web的应用程序.
- 实施交互式模块,用于数据上传和分析酸化数据集.
- 整合可视化工具,包括运动曲线,热图,网络图和缩小维度图 (PCA,UMAP).
主要成果:
- KinoViz使用户能够上传原始数据,并在没有编码的情况下进行深入分析.
- 该应用程序有助于可视化动力酸化,识别显著变化,并探索形状.
- 研究人员可以快速生成交互式可视化和对动态数据的比较分析.
结论:
- KinoViz显著提高了复杂的基因组数组数据的可访问性和可解释性.
- 该工具使研究人员能够进行复杂的分析,有助于理解酶信号通路.
- 未来的扩展旨在支持先进的应用,包括翻译药物发现.
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