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Rolf Apweiler is a German bioinformatician who was director and associate director of European Bioinformatics Institute (EBI) part of the European Molecular Biology Laboratory (EMBL) with Ewan Birney.
The analysis highlights Works, Research, Art and Regions as prominent areas in the source structure around Rolf Apweiler.
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.
Each route connects two topics through a shared source area. It is a way to explore, not a claim of a direct relationship.
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 Rolf Apweiler shows recurring relationship patterns in the source. For example, Rolf Apweiler → InterPro, Swiss-Prot, TrEMBL, UniProt Another extracted example is Rolf Apweiler → Biochemistry, Bioinformatics, Proteomics. 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.
apweiler bioinformatics rolf ebi swiss-prot biochemistry group european molecular biology characterization effect 2- 4-methylphenoxy -7- 4-chlorophenyl -heptanoic acid insulin sensitivity
TTTA extracted 14 structured relationships around Rolf Apweiler. Examples in this analysis include Rolf Apweiler → Alma mater → Heidelberg University and Rolf Apweiler → Alma mater → University of Bath. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Rolf Apweiler | Alma mater | Heidelberg University | 1.00 | infobox |
| Rolf Apweiler | Alma mater | University of Bath | 1.00 | infobox |
| Rolf Apweiler | Fields | Bioinformatics | 1.00 | infobox |
| Rolf Apweiler | Fields | Biochemistry | 1.00 | infobox |
| Rolf Apweiler | Fields | Proteomics | 1.00 | infobox |
| Rolf Apweiler | Known for | Swiss-Prot | 1.00 | infobox |
| Rolf Apweiler | Known for | TrEMBL | 1.00 | infobox |
| Rolf Apweiler | Known for | UniProt | 1.00 | infobox |
| Rolf Apweiler | Known for | InterPro | 1.00 | infobox |
| Rolf Apweiler | Thesis | Characterization of the effect of (-) - 2- (4-methylphenoxy) -7- (4-chlorophenyl) -heptanoic acid on insulin sensitivity and glucose tolerance of FA-FA and FA -? - Rats (1994) | 1.00 | infobox |
| Rolf Apweiler | Website | www.ebi.ac.uk/people/person/rolf-apweiler | 1.00 | infobox |
| Rolf Apweiler | Workplaces | EMBL-EBI | 1.00 | infobox |
| Rolf Apweiler | Workplaces | Heidelberg University | 1.00 | infobox |
| Rolf Apweiler | is a | German bioinformatician who was director and associate director of European Bioinformatics Institute | 0.90 | text |
The concept neighborhoods around Rolf Apweiler bring nearby vocabulary together. In this analysis, examples include German, Biology and Ebi. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Rolf Apweiler, one of the stronger structural bridges in this analysis connects Rolf Apweiler with Research. 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 Rolf Apweiler to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works, Research, Art & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Rolf Apweiler · EN edition · Analysis: TopicsToTalkAbout