OpenMS WebApps: Building User-Friendly Solutions for MS Analysis Article Swipe
Tom David Müller
,
Arslan Siraj
,
Axel Walter
,
Jihyung Kim
,
Samuel Wein
,
Johannes von Kleist
,
Ayesha Feroz
,
Matteo Pilz
,
Kyowon Jeong
,
Justin Sing
,
Joshua Charkow
,
Hannes Röst
,
Timo Sachsenberg
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2411.13189
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2411.13189
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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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2411.13189
- https://arxiv.org/pdf/2411.13189
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4404648932Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2411.13189Digital Object Identifier
- Title
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OpenMS WebApps: Building User-Friendly Solutions for MS AnalysisWork title
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preprintOpenAlex work type
- Language
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enPrimary language
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2024Year of publication
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2024-11-20Full publication date if available
- Authors
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Tom David Müller, Arslan Siraj, Axel Walter, Jihyung Kim, Samuel Wein, Johannes von Kleist, Ayesha Feroz, Matteo Pilz, Kyowon Jeong, Justin Sing, Joshua Charkow, Hannes Röst, Timo SachsenbergList of authors in order
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https://arxiv.org/abs/2411.13189Publisher landing page
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https://arxiv.org/pdf/2411.13189Direct link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2411.13189Direct OA link when available
- Concepts
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User Friendly, Environmentally friendly, Computer science, Business, Operating system, Ecology, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.deployment. | 104 |
| abstract_inverted_index.developers: | 111 |
| abstract_inverted_index.interactive | 68 |
| abstract_inverted_index.management, | 83 |
| abstract_inverted_index.open-source | 21 |
| abstract_inverted_index.proteomics, | 11 |
| abstract_inverted_index.researchers | 109 |
| abstract_inverted_index.third-party | 169 |
| abstract_inverted_index.Furthermore, | 164 |
| abstract_inverted_index.Spectrometry | 3 |
| abstract_inverted_index.applications | 49, 138 |
| abstract_inverted_index.non-experts. | 33 |
| abstract_inverted_index.ready-to-use | 98 |
| abstract_inverted_index.indispensable | 7 |
| abstract_inverted_index.metabolomics, | 12 |
| abstract_inverted_index.user-friendly | 46 |
| abstract_inverted_index.Chromatography | 1 |
| abstract_inverted_index.highperformance | 96 |
| abstract_inverted_index.visualizations, | 70 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 13 |
| citation_normalized_percentile.value | 0.28924791 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |