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Shigella: Klasifikace & Overview

Shigella je rod gramnegativních, nesporulujících tyčinkovitých bakterií. Rod byl pojmenován po japonském bakteriologovi Kiyoshi Shigovi (1871–1957), který ho objevil v roce 1897. Bakterie jsou původci onemocnění shigelóza, tedy bacilární úplavice. Tato nemoc byla dosud zaznamenána jen u goril a lidí. Odhaduje se, že ročně způsobuje Shigella celosvětově…

Language: Czech [CS]
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Shigella topic overview

The analysis highlights Klasifikace and Overview as prominent areas in the source structure around Shigella.

Related topics
14
Source areas
2
Connected nodes
18
Extracted relationships
11
Concept neighborhoods
15
Bridge connections
18

What this topic covers Research coverage

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.

Overview · 9 topics
Klasifikace · 5 topics

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.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Doména
bakterie (Bacteria)
Kmen
Proteobacteria
Rod
Shigella Castellani & Chalmers 1919
Třída
Gammaproteobacteria
Čeleď
Enterobacteriaceae
Řád
Enterobacteriales

Explore all related topics Closing gaps

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.

Overview

Klasifikace

Reference

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Shigella connects Entity context

The extracted context around Shigella shows recurring relationship patterns in the source. For example, Shigella → Obrázky, Wikimedia Commons Another extracted example is Shigella → Běžně, Séroskupina. Use these groups to spot repeated connection types before inspecting the individual relationships.

Shigella

Top relations

related to Externí odkazy · 2
Shigella → Obrázky, Wikimedia Commons
related to Klasifikace · 2
Shigella → Běžně, Séroskupina
Doména · 1
Shigella → bakterie (Bacteria)
Kmen · 1
Shigella → Proteobacteria
Rod · 1
Shigella → Shigella Castellani & Chalmers 1919
Třída · 1
Shigella → Gammaproteobacteria
Čeleď · 1
Shigella → Enterobacteriaceae
Řád · 1
Shigella → Enterobacteriales
related to Reference · 1
Shigella → Wikipedii

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

rod boydii dysenteriae flexneri sonnei onemocnění ročně případů bývá bakterie jsou datové položky gramnegativních nesporulujících tyčinkovitých bakterií japonském bakteriologovi úplavice

Shigella relationships Subject–Predicate–Object triples

TTTA extracted 11 structured relationships around Shigella. Examples in this analysis include Shigella → Doména → bakterie (Bacteria) and Shigella → Kmen → Proteobacteria. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
ShigellaDoménabakterie (Bacteria)1.00infobox
ShigellaKmenProteobacteria1.00infobox
ShigellaRodShigella Castellani & Chalmers 19191.00infobox
ShigellaTřídaGammaproteobacteria1.00infobox
ShigellaČeleďEnterobacteriaceae1.00infobox
ShigellaŘádEnterobacteriales1.00infobox
Shigellarelated to Externí odkazyObrázky0.60section
Shigellarelated to Externí odkazyWikimedia Commons0.60section
Shigellarelated to KlasifikaceBěžně0.60section
Shigellarelated to KlasifikaceSéroskupina0.60section
Shigellarelated to ReferenceWikipedii0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Shigella bring nearby vocabulary together. In this analysis, examples include Boydii, Dysenteriae and Flexneri. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • shigella dysenteriae
    • Flexneri
    • Sonnei
    • Datové
    • Položky
    • Boydii
    • Dysenteriae
    • Shigella
    • Jsou
    • Rod
    • Bakterií
    • Odhaduje
    • Tyčinkovitých
  • shigella flexneri
    • Sonnei
    • Datové
    • Položky
    • Boydii
    • Dysenteriae
    • Flexneri
    • Shigella
    • Jsou
    • Rod
    • Bakterií
    • Odhaduje
    • Tyčinkovitých
  • shigella boydii
    • Dysenteriae
    • Flexneri
    • Sonnei
    • Datové
    • Položky
    • Boydii
    • Shigella
    • Jsou
    • Rod
    • Bakterií
    • Odhaduje
    • Tyčinkovitých
  • shigella sonnei
    • Boydii
    • Dysenteriae
    • Flexneri
    • Datové
    • Položky
    • Shigella
    • Sonnei
    • Bakterie
    • Jsou
    • Rod
    • Bakterií
    • Odhaduje
  • Shigella
    • Boydii
    • Dysenteriae
    • Flexneri
    • Sonnei
    • Bakterií
    • Datové
    • Odhaduje
    • Položky
    • Tyčinkovitých
    • Způsobuje
    • Bakterie
    • Jsou
  • shigella
    • Boydii
    • Dysenteriae
    • Flexneri
    • Sonnei
    • Bakterií
    • Datové
    • Odhaduje
    • Položky
    • Tyčinkovitých
    • Způsobuje
    • Bakterie
    • Jsou
  • kiyoshi shigovi
    • Bakteriologovi
    • Japonském
    • Kiyoshi
    • Objevil
    • Pojmenován
    • Roce
    • Shigovi
    • Rod
  • japonském
    • Bakteriologovi
    • Kiyoshi
    • Objevil
    • Pojmenován
    • Roce
    • Shigovi
    • Rod

Connections between topic areas Semantic bridges

For Shigella, one of the stronger structural bridges in this analysis connects Shigella 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.

Min side: 3
ShigellaOverview · splits 9 ⟂ 10
ShigellaKlasifikace · splits 13 ⟂ 6

Map overview Semantic statistics

Shigella

Nodes19
Edges18
Triples11
Avg. degree1.89
Density0.105263
Components1

Source & methodology

TTTA analyzes the structure around Shigella to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Klasifikace & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Shigella · CS edition · Analysis: TopicsToTalkAbout

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