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Interferome is an online bioinformatics database of interferon-regulated genes (IRGs). These Interferon Regulated Genes are also known as Interferon Stimulated Genes (ISGs). The database contains information on type I (IFN alpha, beta), type II (IFN gamma) and type III (IFN lambda) regulated genes and is regularly updated. It is used by the interferon…
The analysis highlights Contents, Tools and Interferome Management as prominent areas in the source structure around Interferome.
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 Interferome shows recurring relationship patterns in the source. For example, Interferome → Basic Local Alignment Search, BLAST, Gene Ontology, Identify, Normal, Regulatory, Tool Another extracted example is Interferome → Cambridge, Medical Research, Monash Institute, Monash University, University. 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.
genes interferon regulated database information research type used interferons identified cell analysis tool many microarray homo sapiens mus musculus pan
TTTA extracted 26 structured relationships around Interferome. Examples in this analysis include Interferome → Description → database of interferon regulated genes and Interferome → Laboratory → Monash Institute of Medical Research University of Cambridge. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Interferome | Description | database of interferon regulated genes | 1.00 | infobox |
| Interferome | Laboratory | Monash Institute of Medical Research University of Cambridge | 1.00 | infobox |
| Interferome | Organisms | Homo sapiens Mus musculus Pan troglodytes | 1.00 | infobox |
| Interferome | Primary citation | Shamith A Samarajiwa & al. (2009) | 1.00 | infobox |
| Interferome | Release date | 2008 | 1.00 | infobox |
| Interferome | Website | http://www.interferome.org | 1.00 | infobox |
| Interferome | is a | online bioinformatics database of interferon-regulated genes | 0.90 | text |
| chronic viral infections | instance of | These cytokines are used as therapeutics in many diseases | 0.80 | text |
| cancer | instance of | These cytokines are used as therapeutics in many diseases | 0.80 | text |
| multiple sclerosis | instance of | These cytokines are used as therapeutics in many diseases | 0.80 | text |
| Interferome | related to Contents | Gene | 0.60 | section |
| Interferome | related to Contents | Homo | 0.60 | section |
The concept neighborhoods around Interferome bring nearby vocabulary together. In this analysis, examples include Cambridge, Data and Expression. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Interferome, one of the stronger structural bridges in this analysis connects Interferome 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 Interferome to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Contents, Tools & Interferome Management, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Interferome · EN edition · Analysis: TopicsToTalkAbout