Research any topic before you write.

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

EggNOG (database)

The eggNOG database is a database of biological information hosted by the EMBL. It is based on the original idea of COGs (clusters of orthologous groups) and expands that idea to non-supervised orthologous groups constructed from numerous organisms. The database was created in 2007 and updated to version 4.5 in 2015. eggNOG stands for evolutionary…

Overview, Related Topics & Entities

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around EggNOG (database). Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Overview

EMBLOrthologous
2 related topics

Key facts & relationships

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

Authors
Huerta-Cepas et al.
Description
Database of orthologous proteins and functional annotations at multiple taxonomical levels.
Primary citation
Huerta-Cepas et al. (2015)
Release date
2015
Research center
European Molecular Biology Laboratory

Topics to explore

Browse the full topic structure. 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.

Map overview Semantic statistics

EggNOG (database)

Nodes4
Edges3
Triples6
Avg. degree1.5
Density0.5
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

EggNOG (database)

Top relations

Authors · 1
EggNOG (database) → Huerta-Cepas et al.
Description · 1
EggNOG (database) → Database of orthologous proteins and functional annotations at multiple taxonomical levels.
Primary citation · 1
EggNOG (database) → Huerta-Cepas et al. (2015)
Release date · 1
EggNOG (database) → 2015
Research center · 1
EggNOG (database) → European Molecular Biology Laboratory
Website · 1
EggNOG (database) → http://eggnogdb.embl.de

Important terminology Word statistics

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

Important terminology

orthologous eggnog database groups non-supervised embl 2015 huerta-cepas et al eggnogdb biological information hosted based original idea cogs clusters expands

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
EggNOG (database)AuthorsHuerta-Cepas et al.1.00infobox
EggNOG (database)DescriptionDatabase of orthologous proteins and functional annotations at multiple taxonomical levels.1.00infobox
EggNOG (database)Primary citationHuerta-Cepas et al. (2015)1.00infobox
EggNOG (database)Release date20151.00infobox
EggNOG (database)Research centerEuropean Molecular Biology Laboratory1.00infobox
EggNOG (database)Websitehttp://eggnogdb.embl.de1.00infobox

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.