FLASHApp: Interactive Data Analysis and Visualization for Top-Down Proteomics

Area of Science:

• Proteomics
• Biomedical Research
• Clinical Research

Background:

• Top-down proteomics (TDP) is crucial for proteoform-resolved studies.
• Current TDP data analysis tools lack flexibility and interactivity.
• Manual processing of TDP data hinders reproducibility and efficiency.

Purpose of the Study:

• To develop an adaptable and interactive web-based application for TDP data analysis and visualization.
• To address the limitations of existing tools in streamlining interpretation and validation.
• To enhance the reproducibility and collaboration in proteoform-resolved research.

Main Methods:

• Development of FLASHApp, a platform-independent web application.
• Integration of FLASHDeconv for automated TDP data processing.
• Implementation of interactive visualizations and shareable URLs for collaboration.

Main Results:

• FLASHApp offers automated processing of complex TDP data.
• Provides interactive, publication-ready visualizations.
• Facilitates direct team collaboration through shareable links.

Conclusions:

• FLASHApp enhances the efficiency and reproducibility of TDP data analysis.
• The application provides a flexible and interactive solution for proteoform-resolved research.
• As open-source software within OpenMS, FLASHApp promotes accessibility and further development.