FLASHApp: Interactive Data Analysis and Visualization for Top‐Down Proteomics
Top-down proteomics (TDP) is increasingly being applied in proteoform-resolved biomedical and clinical research. However, the complexity of TDP data demands flexible visualization tools integrated with analysis workflows to streamline interpretation and validation. Existing tools lack adaptability and interactivity, often requiring researchers to invest considerable resources on additional manual processing and analysis to generate publication-ready results and figures. This added layer of manual intervention impacts reproducibility, posing a significant challenge to consistent scientific outcomes. FLASHApp addresses these challenges by offering a web-based, platform-independent application for TDP data analysis and visualization. It integrates key tools like FLASHDeconv, featuring automated processing, interactive publication-ready visualizations, and direct team collaboration via shareable URLs. FLASHApp is open-source software as part of OpenMS and available at https://www.openms.org/FLASHApp/.
Authors
- Jae‐Kwan Kim (ORCID: https://orcid.org/0000-0002-7771-6467)
- Kyowon Jeong (ORCID: https://orcid.org/0000-0003-3776-3098)
- Axel Walter (ORCID: https://orcid.org/0000-0001-9462-9712)
- Oliver Kohlbacher (ORCID: https://orcid.org/0000-0003-1739-4598)
- Wonhyeuk Jung (ORCID: https://orcid.org/0000-0002-3980-5602)
- Jihyung Kim (ORCID: https://orcid.org/0000-0002-9894-4258)
- Ayesha Feroz (ORCID: https://orcid.org/0009-0006-5719-7408)
- Tom David Müller (ORCID: https://orcid.org/0000-0003-0118-9434)
- Andrew Almaguer
Institutions
- Universitas Jambi (ID)
- H.B. Fuller (United States) (US)
- AstraZeneca (France) (FR)
- University Children's Hospital Tübingen (DE)
- Bernstein Center for Computational Neuroscience Tübingen (DE)
- University of Tübingen (DE)
Publication Details
- Journal
- PROTEOMICS
- Published
- 2025-09-21
- DOI
- https://doi.org/10.1002/pmic.70042
- Citations
- 1
- Primary Topic
- Advanced Proteomics Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.76
Funders
- European Commission
- Bundesministerium für Bildung und Forschung
- German Network for Bioinformatics Infrastructure