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Genome Taxonomy Database: Effects on the accepted taxonomy, Methodology & Overview

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.…

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Genome Taxonomy Database topic overview

The analysis highlights Effects on the accepted taxonomy, Methodology and Overview as prominent areas in the source structure around Genome Taxonomy Database.

Related topics
29
Source areas
4
Connected nodes
33
Extracted relationships
13
Related term clusters
18
Bridge connections
33

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 · 12 topics
Effects on the accepted taxonomy · 11 topics
Methodology · 5 topics
Contents of the database · 1 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.

Authors
Phil Hugenholtz · Maria Chuvochina · Christian Rinke
Curation policy
mixed
Data types captured
Proposed prokaryotic nomenclature, phylogenomic data
Download URL
gtdb.ecogenomic.org/downloads
License
CC BY-SA 4.0
Release date
2018

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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

Methodology

Contents of the database

Effects on the accepted taxonomy

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Genome Taxonomy Database connects Entity context

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.

Genome Taxonomy Database

Top relations

Authors · 3
Genome Taxonomy Database → Christian Rinke, Maria Chuvochina, Phil Hugenholtz
Curation policy · 1
Genome Taxonomy Database → mixed
Data types captured · 1
Genome Taxonomy Database → Proposed prokaryotic nomenclature, phylogenomic data
Download URL · 1
Genome Taxonomy Database → gtdb.ecogenomic.org/downloads
License · 1
Genome Taxonomy Database → CC BY-SA 4.0
Release date · 1
Genome Taxonomy Database → 2018
Research center · 1
Genome Taxonomy Database → Australian Centre for Ecogenomics, University of Queensland
Version · 1
Genome Taxonomy Database → 09-RS220 (24th April 2024)
Web service URL · 1
Genome Taxonomy Database → gtdb.ecogenomic.org/tree
Website · 1
Genome Taxonomy Database → gtdb.ecogenomic.org

Important terminology

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

Important terminology

gtdb taxonomy species taxa genomes genome tree names used prokaryotic proposed database phylogenomic may taxon new based bacteria nomenclature accepted

Genome Taxonomy Database relationships Subject–Predicate–Object triples

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.

SubjectPredicateObjectConfidenceSrc
Genome Taxonomy DatabaseAuthorsPhil Hugenholtz1.00infobox
Genome Taxonomy DatabaseAuthorsMaria Chuvochina1.00infobox
Genome Taxonomy DatabaseAuthorsChristian Rinke1.00infobox
Genome Taxonomy DatabaseCuration policymixed1.00infobox
Genome Taxonomy DatabaseData types capturedProposed prokaryotic nomenclature, phylogenomic data1.00infobox
Genome Taxonomy DatabaseDownload URLgtdb.ecogenomic.org/downloads1.00infobox
Genome Taxonomy DatabaseLicenseCC BY-SA 4.01.00infobox
Genome Taxonomy DatabaseRelease date20181.00infobox
Genome Taxonomy DatabaseResearch centerAustralian Centre for Ecogenomics, University of Queensland1.00infobox
Genome Taxonomy DatabaseVersion09-RS220 (24th April 2024)1.00infobox
Genome Taxonomy DatabaseWeb service URLgtdb.ecogenomic.org/tree1.00infobox
Genome Taxonomy DatabaseWebsitegtdb.ecogenomic.org1.00infobox

Related concept clusters Related term clusters

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.

  • Genome Taxonomy Database
    • Release
    • Gtdb
    • Tree
    • Species
    • Taxonomy
    • Genomes
    • Prokaryotic
    • Database
    • Genome
    • Information
    • Phylogenomic
    • Quality
  • genome taxonomy database
    • Nomenclature
    • Release
    • Cyanobacteria
    • Information
    • Phylogenomic
    • Tree
    • Gtdb
    • Accepted
    • Proposed
    • Species
    • Taxonomy
    • Genomes
  • effects on the accepted taxonomy
    • Proposed
    • Tree
    • Taxonomy
    • Database
    • Code
    • Published
    • Using
    • Used
    • Names
    • Prokaryotic
    • Genome
    • Cyanobacteria
  • bergey's manual of systematics of archaea and bacteria
    • Bacteria
    • Information
    • Based
    • Cyanobacteria
    • Nomenclature
    • Names
    • Prokaryotic
    • Manual
    • Phylogenomic
    • Database
    • New
    • Sources
  • contents of the database
    • Nomenclature
    • Cyanobacteria
    • Information
    • Phylogenomic
    • Accepted
    • Proposed
    • Prokaryotic
    • Genome
    • Genomes
    • Taxonomy
    • Archaea
    • Also
  • nomenclature
    • Cyanobacteria
    • Prokaryotic
    • Names
    • Phylogenomic
    • Also
    • Bacteria
    • Proposed
    • Used
    • Genomes
    • Archaea
    • Code
    • Published
  • cyanobacteria
    • Nomenclature
    • Database
    • Prokaryotic
    • Names
    • Genomes
    • Manual
    • Information
    • Phylogenomic
    • Code
    • Published
    • Release
    • Gtdb
  • prokaryotic code
    • Code
    • Prokaryotic
    • Published
    • Names
    • Used
    • Taxa
    • Taxonomy
    • Cyanobacteria
    • Tree
    • Nomenclature
    • Using
    • Genera

Connections between topic areas Semantic bridges

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.

Min side: 3
Genome Taxonomy Database — Overview · splits 21 ⟂ 13
Genome Taxonomy Database — Effects on the accepted taxonomy · splits 22 ⟂ 12
Genome Taxonomy Database — Methodology · splits 28 ⟂ 6

Map overview Semantic statistics

Genome Taxonomy Database

Nodes34
Edges33
Triples13
Avg. degree1.94
Density0.058824
Components1

Source & methodology

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

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