Kavli Affiliate: David Muller
| First 5 Authors: Tom David Müller, Arslan Siraj, Axel Walter, Jihyung Kim, Samuel Wein
| Summary:
Liquid Chromatography Mass Spectrometry (LC-MS) is an indispensable
analytical technique in proteomics, metabolomics, and other life sciences.
While OpenMS provides advanced open-source software for MS data analysis, its
complexity can be challenging for non-experts. To address this, we have
developed OpenMS WebApps, a framework for creating user-friendly MS web
applications based on the Streamlit Python package. OpenMS WebApps simplifies
MS data analysis through an intuitive graphical user interface, interactive
result visualizations, and support for both local and online execution. Key
features include workspaces management, automatic generation of input widgets,
and parallel execution of tools resulting in highperformance and ready-to-use
solutions for online and local deployment. This framework benefits both
researchers and developers: scientists can focus on their research without the
burden of complex software setups, and developers can rapidly create and
distribute custom WebApps with novel algorithms. Several applications built on
the OpenMS WebApps template demonstrate its utility across diverse MS-related
fields, enhancing the OpenMS eco-system for developers and a wider range of
users. Furthermore, it integrates seamlessly with third-party software,
extending benefits to developers beyond the OpenMS community.
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