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/.

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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

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

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PROTEOMICS
Advanced Proteomics Techniques and Applications
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article

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

Jae‐Kwan Kim, Kyowon Jeong, Axel Walter, Oliver Kohlbacher, Wonhyeuk Jung, Jihyung Kim, Ayesha Feroz, Tom David Müller, Andrew Almaguer
article en
1 citations

Abstract

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/.

PROTEOMICSVol. 25(24)
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)
European Commission, Bundesministerium für Bildung und Forschung, German Network for Bioinformatics Infrastructure
Openalex Percentile: Top 25%
Advanced Proteomics Techniques and Applications
0.76
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