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Pithovirus je rod obřích virů, který zahrnuje jediný druh – virus Pithovirus sibericum. Byl objeven v roce 2014. Jeho částice (virion) má oválný tvar o délce 1,5 mikrometru a šířce 0,5 mikrometru, což z něj činí největší známý virus.
The analysis highlights Charakteristika and Overview as prominent areas in the source structure around Pithovirus.
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 Pithovirus shows recurring relationship patterns in the source. For example, Pithovirus → Acanthamoeba, Chantal Abergel, Je, Jean-Michel Claverie, Jeho, Napadá, Pandoravirus Another extracted example is Pithovirus → Obrázky, Wikimedia CommonsČlánek, ZZ. 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.
virus virů 2014 rod sibericum roce jeho což největší známý datové položky pandoravirus permafrostu virion skupiny rodu obřích zahrnuje jediný
TTTA extracted 18 structured relationships around Pithovirus. Examples in this analysis include Pithovirus → Kmen → Nucleocytoviricota and Pithovirus → Realm → Varidnaviria. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Pithovirus | Kmen | Nucleocytoviricota | 1.00 | infobox |
| Pithovirus | Realm | Varidnaviria | 1.00 | infobox |
| Pithovirus | Rod | Pithovirus | 1.00 | infobox |
| Pithovirus | Skupina | I (dsDNA viry) | 1.00 | infobox |
| Pithovirus | Třída | Megaviricetes | 1.00 | infobox |
| Pithovirus | Čeleď | Pithoviridae (návrh) | 1.00 | infobox |
| Pithovirus | Řád | Pimascovirales | 1.00 | infobox |
| Pithovirus | Říše | Bamfordvirae | 1.00 | infobox |
| Pithovirus | related to Charakteristika | Je | 0.60 | section |
| Pithovirus | related to Charakteristika | Jeho | 0.60 | section |
| Pithovirus | related to Charakteristika | Pandoravirus | 0.60 | section |
| Pithovirus | related to Charakteristika | Chantal Abergel | 0.60 | section |
The concept neighborhoods around Pithovirus bring nearby vocabulary together. In this analysis, examples include Rod, Sibericum and Virů. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Pithovirus, one of the stronger structural bridges in this analysis connects Pithovirus with Charakteristika. 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 Pithovirus to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Charakteristika & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Pithovirus · CS edition · Analysis: TopicsToTalkAbout