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A topologically associating domain (TAD) is a self-interacting genomic region, meaning that DNA sequences within a TAD physically interact with each other more frequently than with sequences outside the TAD. The average size of a topologically associating domain (TAD) is 1000 kb in humans, 880 kb in mouse cells, and 140 kb in fruit flies. Boundaries at…
The analysis highlights Regions, Overview and Lamina-associated domains as prominent areas in the source structure around Topologically associating domain.
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.
See recurring relationship patterns around Topologically associating domain before inspecting the individual extracted relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
tad boundaries tads ctcf cohesin formation shown chromatin expression boundary dna types associated gene domains genes however interactions domain genome
TTTA extracted 13 structured relationships around Topologically associating domain. Examples in this analysis include cancer → instance of → Disruption of TAD boundaries are found to be associated with wide range of diseases and Juicebox → instance of → the directionality index is a signed chi-square statistic.The development of specialized genome browsers and visualization tools. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| cancer | instance of | Disruption of TAD boundaries are found to be associated with wide range of diseases | 0.80 | text |
| variety of limb malformations such as synpolydactyly | instance of | Disruption of TAD boundaries are found to be associated with wide range of diseases | 0.80 | text |
| Cooks syndrome | instance of | Disruption of TAD boundaries are found to be associated with wide range of diseases | 0.80 | text |
| and F-syndrome | instance of | Disruption of TAD boundaries are found to be associated with wide range of diseases | 0.80 | text |
| and number of brain disorders like Hypoplastic corpus callosum | instance of | Disruption of TAD boundaries are found to be associated with wide range of diseases | 0.80 | text |
| Adult-onset demyelinating leukodystrophy | instance of | Disruption of TAD boundaries are found to be associated with wide range of diseases | 0.80 | text |
| Juicebox | instance of | the directionality index is a signed chi-square statistic.The development of specialized genome browsers and visualization tools | 0.80 | text |
| HiGlass/HiPiler | instance of | the directionality index is a signed chi-square statistic.The development of specialized genome browsers and visualization tools | 0.80 | text |
| The 3D Genome Browser | instance of | the directionality index is a signed chi-square statistic.The development of specialized genome browsers and visualization tools | 0.80 | text |
| 3DIV | instance of | the directionality index is a signed chi-square statistic.The development of specialized genome browsers and visualization tools | 0.80 | text |
| 3D-GNOME | instance of | the directionality index is a signed chi-square statistic.The development of specialized genome browsers and visualization tools | 0.80 | text |
| and TADKB have enabled us to visualize the TAD organization of regions of interest in different cell types | instance of | the directionality index is a signed chi-square statistic.The development of specialized genome browsers and visualization tools | 0.80 | text |
The concept neighborhoods around Topologically associating domain bring nearby vocabulary together. In this analysis, examples include Cells, Genomic and Region. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Topologically associating domain, one of the stronger structural bridges in this analysis connects Topologically associating domain 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 Topologically associating domain to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Regions, Overview & Lamina-associated domains, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Topologically associating domain · EN edition · Analysis: TopicsToTalkAbout