Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Qlucore: Art, Technology & Companies

Qlucore is a Swedish Bioinformatics software company founded in the year 2007. It started as a collaborative research project at Lund University, Sweden, supported by researchers at the Departments of Mathematics and Clinical Genetics. The objective was to address the vast amount of high-dimensional data generated with microarray gene expression…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Qlucore topic overview

The analysis highlights Art, Technology and Companies as prominent areas in the source structure around Qlucore.

Related topics
4
Source areas
1
Connected nodes
5
Extracted relationships
16
Concept neighborhoods
6
Bridge connections
5

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 · 4 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.

Founded
15 January 2007
Headquarters
Lund, Sweden
Founder
Thoas Fioretos, Magnus Fontes, Johan Råde, Carl-Johan Ivarsson
Products
Qlucore Omics Explorer

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

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 Qlucore connects Entity context

The extracted context around Qlucore shows recurring relationship patterns in the source. For example, Qlucore → Archived, BBC, King's College, London, Magazine, Page, Qlucore Omics Explorer, Read, September, Wayback Machine Another extracted example is Qlucore → 15 January 2007. Use these groups to spot repeated connection types before inspecting the individual relationships.

Qlucore

Top relations

related to References · 10
Qlucore → Archived, BBC, King's College, London, Magazine, Page, Qlucore Omics Explorer, Read, September, Wayback Machine
Founded · 1
Qlucore → 15 January 2007
Founder · 1
Qlucore → Thoas Fioretos, Magnus Fontes, Johan Råde, Carl-Johan Ivarsson
Headquarters · 1
Qlucore → Lund, Sweden
Products · 1
Qlucore → Qlucore Omics Explorer
Website · 1
Qlucore → www.qlucore.com
is a · 1
Qlucore → Swedish Bioinformatics software company founded in the year 2007

Important terminology

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

Important terminology

data software research omics explorer new researchers generated analysis major step adding diagnostics insights founded lund sweden gene expression technology

Qlucore relationships Subject–Predicate–Object triples

TTTA extracted 16 structured relationships around Qlucore. Examples in this analysis include Qlucore → Founded → 15 January 2007 and Qlucore → Founder → Thoas Fioretos, Magnus Fontes, Johan Råde, Carl-Johan Ivarsson. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
QlucoreFounded15 January 20071.00infobox
QlucoreFounderThoas Fioretos, Magnus Fontes, Johan Råde, Carl-Johan Ivarsson1.00infobox
QlucoreHeadquartersLund, Sweden1.00infobox
QlucoreProductsQlucore Omics Explorer1.00infobox
QlucoreWebsitewww.qlucore.com1.00infobox
Qlucoreis aSwedish Bioinformatics software company founded in the year 20070.90text
Qlucorerelated to ReferencesBBC0.60section
Qlucorerelated to ReferencesRead0.60section
Qlucorerelated to ReferencesQlucore Omics Explorer0.60section
Qlucorerelated to ReferencesKing's College0.60section
Qlucorerelated to ReferencesLondon0.60section
Qlucorerelated to ReferencesMagazine0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Qlucore bring nearby vocabulary together. In this analysis, examples include Explorer, Omics and Data. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Qlucore
    • Explorer
    • Omics
    • Data
    • Adding
    • Diagnostics
    • Founded
    • Insights
    • Major
    • Step
    • New
    • Research
    • Software
  • qlucore
    • Explorer
    • Omics
    • Data
    • Adding
    • Diagnostics
    • Founded
    • Insights
    • Major
    • Step
    • New
    • Research
    • Software
  • lund university
    • Collaborative
    • Departments
    • Project
    • Started
    • Supported
    • Sweden
    • Bbc
    • Lund
    • Read
    • Researchers
    • University
    • Www
  • bioinformatics
    • Company
    • Swedish
    • Year
    • Founded
    • Software
    • Qlucore
  • swedish
    • Year
  • nasdaq
    • Qlucore

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the Qlucore map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

Qlucore

Nodes6
Edges5
Triples16
Avg. degree1.67
Density0.333333
Components1

Source & methodology

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

Source: Wikipedia — Qlucore · EN edition · Analysis: TopicsToTalkAbout

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.