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OpenMS is an open-source project for data analysis and processing in mass spectrometry and is released under the 3-clause BSD licence. It supports most common operating systems including Microsoft Windows, MacOS and Linux.
The analysis highlights History, Overview and Features as prominent areas in the source structure around OpenMS.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
A focused starting point derived from the topic graph, ranked independently of the source article order.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around OpenMS shows recurring relationship patterns in the source. For example, OpenMS → Bioinformatics, CPU, DIA, Furthermore, However, In, MaxQuant, Multiple, MyriMatch, OpenSWATH, Progenesis QI, Python, QcML, The, The OpenMS, TMT, TOPPAS, TOPPView, TraML Another extracted example is OpenMS → Among, BSD, Finally, It, LC/MS, LGPL, Python, RT, SILAC, TMT, TOPP Tools. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
data analysis tools mass provides spectrometry including supports also metabolomics visualization processing software new released label-free tmt release 3-clause bsd
TTTA extracted 45 structured relationships around OpenMS. Examples in this analysis include OpenMS → Available in → English and OpenMS → Developer → Over 65 individuals. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| OpenMS | Available in | English | 1.00 | infobox |
| OpenMS | Developer | Over 65 individuals | 1.00 | infobox |
| OpenMS | License | BSD licenses 3-clause | 1.00 | infobox |
| OpenMS | Operating system | Linux, Windows, MacOS | 1.00 | infobox |
| OpenMS | Platform | x86-64, ARM | 1.00 | infobox |
| OpenMS | Release | 1 July 2007; 19 years ago (2007-07-01) | 1.00 | infobox |
| OpenMS | Repository | github.com/OpenMS/OpenMS | 1.00 | infobox |
| OpenMS | Size | 215 MB | 1.00 | infobox |
| OpenMS | Stable release | 3.2.0 / 18 September 2024; 23 months ago (2024-09-18) | 1.00 | infobox |
| OpenMS | Type | Bioinformatics / Mass spectrometry software | 1.00 | infobox |
| OpenMS | Website | openms.de | 1.00 | infobox |
| OpenMS | Written in | C++ (with bindings to Python) | 1.00 | infobox |
| OpenMS | is a | open-source project for data analysis and processing in mass spectrometry and is released under the 3-clause BSD licence | 0.90 | text |
The concept neighborhoods around OpenMS bring nearby vocabulary together. In this analysis, examples include Data, Analysis and Mass. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For OpenMS, one of the stronger structural bridges in this analysis connects OpenMS with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around OpenMS to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Overview & Features, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — OpenMS · EN edition · Analysis: TopicsToTalkAbout