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The eggNOG database is a database of biological information hosted by the EMBL. It is based on the original idea of COGs (clusters of orthologous groups) and expands that idea to non-supervised orthologous groups constructed from numerous organisms. The database was created in 2007 and updated to version 4.5 in 2015. eggNOG stands for evolutionary…
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around EggNOG (database).
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.
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 EggNOG (database) shows recurring relationship patterns in the source. For example, EggNOG (database) → Huerta-Cepas et al. Another extracted example is EggNOG (database) → Database of orthologous proteins and functional annotations at multiple taxonomical levels.. 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.
orthologous eggnog database groups non-supervised embl 2015 huerta-cepas et al eggnogdb biological information hosted based original idea cogs clusters expands
TTTA extracted 6 structured relationships around EggNOG (database). Examples in this analysis include EggNOG (database) → Authors → Huerta-Cepas et al. and EggNOG (database) → Description → Database of orthologous proteins and functional annotations at multiple taxonomical levels.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| EggNOG (database) | Authors | Huerta-Cepas et al. | 1.00 | infobox |
| EggNOG (database) | Description | Database of orthologous proteins and functional annotations at multiple taxonomical levels. | 1.00 | infobox |
| EggNOG (database) | Primary citation | Huerta-Cepas et al. (2015) | 1.00 | infobox |
| EggNOG (database) | Release date | 2015 | 1.00 | infobox |
| EggNOG (database) | Research center | European Molecular Biology Laboratory | 1.00 | infobox |
| EggNOG (database) | Website | http://eggnogdb.embl.de | 1.00 | infobox |
The concept neighborhoods around EggNOG (database) bring nearby vocabulary together. In this analysis, examples include Eggnog, Orthologous and Biological. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the EggNOG (database) map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around EggNOG (database) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — EggNOG (database) · EN edition · Analysis: TopicsToTalkAbout