Python(编程语言)
计算机科学
可视化
软件
麻省理工许可证
模块化设计
数据可视化
图形用户界面
Web应用程序
万维网
数据挖掘
操作系统
作者
Justin Sing,Joshua Charkow,Mohammed AlHigaylan,Ira Horecka,Leon L. Xu,Hannes Röst
标识
DOI:10.1021/acs.jproteome.4c00026
摘要
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, m/z, 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.
科研通智能强力驱动
Strongly Powered by AbleSci AI