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The Genome Taxonomy Database (GTDB) is an online database that maintains information on a proposed nomenclature of prokaryotes, following a phylogenomic approach based on a set of conserved single-copy proteins. In addition to resolving paraphyletic groups, this method also reassigns taxonomic ranks algorithmically, updating names in both cases.…
The analysis highlights Effects on the accepted taxonomy, Methodology and Overview as prominent areas in the source structure around Genome Taxonomy Database.
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.
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The extracted context around Genome Taxonomy Database shows recurring relationship patterns in the source. For example, Genome Taxonomy Database → Christian Rinke, Maria Chuvochina, Phil Hugenholtz Another extracted example is Genome Taxonomy Database → mixed. 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.
gtdb taxonomy species taxa genomes genome tree names used prokaryotic proposed database phylogenomic may taxon new based bacteria nomenclature accepted
TTTA extracted 13 structured relationships around Genome Taxonomy Database. Examples in this analysis include Genome Taxonomy Database → Authors → Phil Hugenholtz and Genome Taxonomy Database → Authors → Maria Chuvochina. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Genome Taxonomy Database | Authors | Phil Hugenholtz | 1.00 | infobox |
| Genome Taxonomy Database | Authors | Maria Chuvochina | 1.00 | infobox |
| Genome Taxonomy Database | Authors | Christian Rinke | 1.00 | infobox |
| Genome Taxonomy Database | Curation policy | mixed | 1.00 | infobox |
| Genome Taxonomy Database | Data types captured | Proposed prokaryotic nomenclature, phylogenomic data | 1.00 | infobox |
| Genome Taxonomy Database | Download URL | gtdb.ecogenomic.org/downloads | 1.00 | infobox |
| Genome Taxonomy Database | License | CC BY-SA 4.0 | 1.00 | infobox |
| Genome Taxonomy Database | Release date | 2018 | 1.00 | infobox |
| Genome Taxonomy Database | Research center | Australian Centre for Ecogenomics, University of Queensland | 1.00 | infobox |
| Genome Taxonomy Database | Version | 09-RS220 (24th April 2024) | 1.00 | infobox |
| Genome Taxonomy Database | Web service URL | gtdb.ecogenomic.org/tree | 1.00 | infobox |
| Genome Taxonomy Database | Website | gtdb.ecogenomic.org | 1.00 | infobox |
The concept neighborhoods around Genome Taxonomy Database bring nearby vocabulary together. In this analysis, examples include Release, Gtdb and Tree. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Genome Taxonomy Database, one of the stronger structural bridges in this analysis connects Genome Taxonomy Database 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 Genome Taxonomy Database to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Effects on the accepted taxonomy, Methodology & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Genome Taxonomy Database · EN edition · Analysis: TopicsToTalkAbout