MBCO PathNet:集成和可视化连接功能相关路径的网络,这些路径是从转录和蛋白质组数据集中预测的
Jens Hansen1,2, Ravi Iyengar1,2
1Mount Sinai Institute for Systems Biomedicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
bioRxiv : the preprint server for biology
|March 3, 2025
概括
MBCO PathNet 集成和可视化基因和蛋白质通路网络使用本体学. 这个工具有助于通过交互式图表和图表来理解生物数据关系.
科学领域:
- 生物信息学是一种生物信息学.
- 系统生物学 系统生物学
- 计算生物学 计算生物学
背景情况:
- 分析大规模的基因和蛋白质数据需要有效的可视化工具.
- 了解生物途径之间的功能关系对于生物发现至关重要.
- 现有的工具可能缺乏全面的集成和灵活的可视化选项.
研究的目的:
- 介绍MBCO PathNet,这是一个用于整合和可视化生物通路网络的桌面应用程序.
- 让用户能够基于层次和功能关系来探索网络.
- 提供灵活的可视化选项,表示定量数据.
主要方法:
- 利用细胞本体学的分子生物学 (MBCO) 和其他本体学的途径预测.
- 开发一个桌面应用程序用于网络集成和可视化.
- 实现曲面图,条形图,热图和数据表示时间表.
主要成果:
- MBCO PathNet 便于快速和简单地整合路径数据.
- 路径以交互式饼图的形式可视化,切片代表数据集.
- 网络元素和切片可以通过统计学意义或其他定量措施进行缩放.
- 该应用程序支持生成各种可视化,包括条形图,热图和时间线.
结论:
- MBCO PathNet提供了一个强大且易于使用的平台,用于探索复杂的生物通路网络.
- 该工具通过集成可视化增强了基因和蛋白质列表数据的解释.
- MBCO PathNet支持系统生物学和生物信息学研究中的各种分析需求.
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