热映射器2:通过网络实现的热映射变得更加简单
Kyle Kernick1, Robyn Woudstra1, Mark Berjanskii1
1Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Nucleic acids research
|May 5, 2025
概括
Heatmapper2为原始Heatmapper提供了显著的升级,具有增强的性能和扩展的功能,用于创建先进的热图. 这个新版本支持跨科学学科的多样化应用.
科学领域:
- 生物信息学是一种生物信息学.
- 数据可视化 数据可视化
- 科学计算科学计算
背景情况:
- 最初的Heatmapper (2016) 是一个开创性的基于Web的热图可视化平台.
- 原始Heatmapper在性能和功能上的局限性随着使用量的增加而变得明显.
- 确定需要一个改进的平台,增强功能和性能.
研究的目的:
- 介绍Heatmapper2,这是Heatmapper网络服务器的重大升级.
- 为了提高性能,扩展功能,并整合用于热图生成的新网络技术.
- 为研究人员提供一个更强大,更通用的数据可视化工具.
主要方法:
- 完全重写后端代码从R到Python,以提高处理速度.
- 从R Shiny迁移到Shiny Python. 这是一个很好的例子.
- 集成WebAssembly用于客户端,高性能计算.
主要成果:
- 由于客户端处理和优化的代码,显著提高了性能.
- 扩展了对各种热图类型的支持:时间序列,3D,蛋白质结构,分子空间和光谱.
- 重新设计的界面提供了广泛的定制,更容易的表编辑和高效处理大数据集.
结论:
- Heatmapper2提供了与原始Heatmapper相比的大幅升级,解决了性能和功能限制.
- 新平台的增强功能和用户友好的界面满足了更广泛的科学研究应用.
- 热图2准备成为一个更有吸引力和必要的工具,研究人员需要先进的热图可视化.
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