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TopDownApp: An open and modular platform for analysis and visualisation of top-down proteomics data
Mathias Walzer1, Kyowon Jeong2, David L Tabb3
1European Molecular Biology Laboratory, EMBL-European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridge, UK.
Top-down proteomics, analyzing intact proteins, needs wider adoption. Enhancing open science practices, like FAIR data principles and open analysis workflows, will boost data sharing and reuse in this field.
Area of Science:
- Proteomics
- Biochemistry
- Data Science
Background:
- Top-down (TD) proteomics is gaining traction for intact protein and proteoform analysis.
- Widespread adoption of TD proteomics requires further development and standardization.
Purpose of the Study:
- To highlight areas for improvement in TD proteomics adoption.
- To emphasize the importance of open science practices, including FAIR data principles and open data analysis workflows.
Main Methods:
- Review of current practices in TD proteomics.
- Analysis of open science principles and their applicability.
Main Results:
- TD proteomics adoption can be generalized through improved open science practices.
- Greater adherence to FAIR data principles is needed.
- Development of open data analysis workflows is crucial for data reuse.
Conclusions:
- Implementing open science practices will accelerate the adoption and impact of TD proteomics.
- Standardized data sharing and analysis will enhance the reusability of public TD proteomics datasets.
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