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Sinice (Cyanobacteria, ale také Cyanophyta či Cyanoprokaryota, podle nového názvosloví Cyanobacteriota) je kmen nebo oddělení (záleží, zda se jedná o bakteriologické či botanické pojetí) gramnegativních bakterií. Vyznačují se schopností fotosyntézy, při níž vzniká kyslík (tzv. oxygenní typ). Český název této skupiny pochází ze slova siný, tedy tmavě modrý.
The analysis highlights Stavba buněk, Klasifikace and Metabolismus as prominent areas in the source structure around Sinice.
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 Sinice shows recurring relationship patterns in the source. For example, Sinice → BABICA, Blahoslav, Bláha, Bratislava, Brno, Dostupné, Drábková, Fotografický, František, HINDÁK, ISBN, Jiří, KALINA, Karolinum, KERŠNER, Lenka, MARVAN, MARŠÁLEK, Nadatio, Pavel Another extracted example is Sinice → Archivováno, AV, Budějovicích, Centrum, Cyanosite, Encyklopedie, Galerie, Informácie, Jihočeská, Laboratoř, Obrázky, PřF UK, Souborném, Stránky, Studijní, The, Wayback Machine, WikidruzíchSeznam, Wikimedia Commons Slovníkové, Wikislovníku Taxon Cyanobacteria. 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.
sinic jsou jako tzv buňky některé rodu buněk například vodní tedy především některých typ bakterií dna množství uvnitř zpravidla struktury
TTTA extracted 181 structured relationships around Sinice. Examples in this analysis include Sinice → Doména → bakterie (Bacteria) and Sinice → Kmen → sinice (Cyanobacteria) Stanier ex Cavalier-Smith, 2002. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Sinice | Doména | bakterie (Bacteria) | 1.00 | infobox |
| Sinice | Kmen | sinice (Cyanobacteria) Stanier ex Cavalier-Smith, 2002 | 1.00 | infobox |
| Sinice | Třída | Cyanophyceae Schaffner, 1909 | 1.00 | infobox |
| Sinice | related to Ekologie | UV | 0.60 | section |
| Sinice | related to Ekologie | Pokud | 0.60 | section |
| Sinice | related to Externí odkazy | Obrázky | 0.60 | section |
| Sinice | related to Externí odkazy | Wikimedia Commons Slovníkové | 0.60 | section |
| Sinice | related to Externí odkazy | Wikislovníku Taxon Cyanobacteria | 0.60 | section |
| Sinice | related to Externí odkazy | WikidruzíchSeznam | 0.60 | section |
| Sinice | related to Externí odkazy | Souborném | 0.60 | section |
| Sinice | related to Externí odkazy | Studijní | 0.60 | section |
| Sinice | related to Externí odkazy | PřF UK | 0.60 | section |
The concept neighborhoods around Sinice bring nearby vocabulary together. In this analysis, examples include Rodu, Jako and Některé. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Sinice, one of the stronger structural bridges in this analysis connects Sinice with Metabolismus. 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 Sinice to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Stavba buněk, Klasifikace & Metabolismus, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Sinice · CS edition · Analysis: TopicsToTalkAbout