Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada.
Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5G 1A8, Canada.
J Proteome Res. 2024 Jun 7;23(6):2306-2314. doi: 10.1021/acs.jproteome.4c00026. Epub 2024 Apr 29.
With the increased usage and diversity of methods and instruments being applied to analyze Data-Independent Acquisition (DIA) data, visualization is becoming increasingly important to validate automated software results. Here we present MassDash, a cross-platform DIA mass spectrometry visualization and validation software for comparing features and results across popular tools. MassDash provides a web-based interface and Python package for interactive feature visualizations and summary report plots across multiple automated DIA feature detection tools, including OpenSwath, DIA-NN, and dreamDIA. Furthermore, MassDash processes peptides on the fly, enabling interactive visualization of peptides across dozens of runs simultaneously on a personal computer. MassDash supports various multidimensional visualizations across retention time, ion mobility, /, and intensity, providing additional insights into the data. The modular framework is easily extendable, enabling rapid algorithm development of novel peak-picker techniques, such as deep-learning-based approaches and refinement of existing tools. MassDash is open-source under a BSD 3-Clause license and freely available at https://github.com/Roestlab/massdash, and a demo version can be accessed at https://massdash.streamlit.app.
随着越来越多的方法和仪器被应用于分析数据非依赖采集(DIA)数据,可视化对于验证自动化软件结果变得越来越重要。这里我们介绍 MassDash,这是一个跨平台的 DIA 质谱可视化和验证软件,用于比较各种流行工具的特征和结果。MassDash 提供了一个基于网络的界面和 Python 包,用于在多个自动化 DIA 特征检测工具之间进行交互式特征可视化和摘要报告绘图,包括 OpenSwath、DIA-NN 和 dreamDIA。此外,MassDash 实时处理肽段,能够在个人计算机上同时交互式可视化数十个运行的肽段。MassDash 支持各种多维可视化,包括保留时间、离子淌度、/ 和强度,为数据提供了更多的见解。模块化框架易于扩展,能够快速开发新的峰提取技术的算法,例如基于深度学习的方法和对现有工具的改进。MassDash 在 BSD 3-Clause 许可证下是开源的,可以在 https://github.com/Roestlab/massdash 上免费获得,并且可以在 https://massdash.streamlit.app 上访问演示版本。