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MiRBase: Overview, Related Topics & Entities

In bioinformatics, miRBase is a biological database that acts as an archive of microRNA sequences and annotations. As of September 2010 it contained information about 15,172 microRNAs. This number has risen to 38,589 by March 2018. The miRBase registry provides a centralised system for assigning new names to microRNA genes.

Language: English [EN]
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MiRBase topic overview

The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around MiRBase.

Related topics
11
Source areas
1
Connected nodes
12
Extracted relationships
7
Concept neighborhoods
13
Bridge connections
12

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 · 11 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
Ana Kozomara
Description
microRNA database
Primary citation
Kozomara & al. (2011)
Release date
2010
Research center
University of Manchester

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 MiRBase connects Entity context

The extracted context around MiRBase shows recurring relationship patterns in the source. For example, MiRBase → Ana Kozomara Another extracted example is MiRBase → microRNA database. Use these groups to spot repeated connection types before inspecting the individual relationships.

MiRBase

Top relations

Authors · 1
MiRBase → Ana Kozomara
Description · 1
MiRBase → microRNA database
Primary citation · 1
MiRBase → Kozomara & al. (2011)
Release date · 1
MiRBase → 2010
Research center · 1
MiRBase → University of Manchester
Website · 1
MiRBase → www.mirbase.org
is a · 1
MiRBase → biological database that acts as an archive of microRNA sequences and annotations

Important terminology

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

Important terminology

microrna sequences release mirnas species viridiplantae information micrornas march 2018 registry system sam griffiths-jones database ana kozomara primary bioinformatics alveolata

MiRBase relationships Subject–Predicate–Object triples

TTTA extracted 7 structured relationships around MiRBase. Examples in this analysis include MiRBase → Authors → Ana Kozomara and MiRBase → Description → microRNA database. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
MiRBaseAuthorsAna Kozomara1.00infobox
MiRBaseDescriptionmicroRNA database1.00infobox
MiRBasePrimary citationKozomara & al. (2011)1.00infobox
MiRBaseRelease date20101.00infobox
MiRBaseResearch centerUniversity of Manchester1.00infobox
MiRBaseWebsitewww.mirbase.org1.00infobox
MiRBaseis abiological database that acts as an archive of microRNA sequences and annotations0.90text

Related concept clusters Concept neighborhoods

The concept neighborhoods around MiRBase bring nearby vocabulary together. In this analysis, examples include Ana, Griffiths-jones and Kozomara. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • MiRBase
    • Ana
    • Griffiths-jones
    • Kozomara
    • Primary
    • Sam
    • System
    • Release
    • Sequences
    • Alveolata
    • Centralised
    • Chromalveolata
    • Metazoa
  • mirbase
    • Ana
    • Griffiths-jones
    • Kozomara
    • Primary
    • Sam
    • System
    • Release
    • Sequences
    • Alveolata
    • Centralised
    • Chromalveolata
    • Metazoa
  • alveolata
    • Chromalveolata
    • Metazoa
    • Mycetozoa
    • Viruses
    • Ana
    • Griffiths-jones
    • Information
    • Kozomara
    • Micrornas
    • Mirnas
    • Primary
    • Sam
  • viruses
    • Alveolata
    • Chromalveolata
    • Metazoa
    • Mycetozoa
    • Ana
    • Griffiths-jones
    • Information
    • Kozomara
    • Micrornas
    • Mirnas
    • Primary
    • Sam
  • chromalveolata
    • Metazoa
    • Mycetozoa
    • Viruses
    • Griffiths-jones
    • Information
    • Kozomara
    • Micrornas
    • Mirnas
    • Primary
    • Sam
    • Species
    • System
  • metazoa
    • Mycetozoa
    • Viruses
    • Micrornas
    • Mirnas
    • Primary
    • Sam
    • Species
    • System
    • Viridiplantae
    • Sequences
    • Microrna
    • Mirbase
  • mirnas
    • Sequences
    • Metazoa
    • Mycetozoa
    • Viruses
    • Primary
    • Sam
    • Species
    • System
    • Viridiplantae
  • bioinformatics
    • Acts
    • Annotations
    • Archive
    • Biological
    • Database
    • Sequences
    • Microrna
    • Mirbase

Connections between topic areas Semantic bridges

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

Min side: 3

Map overview Semantic statistics

MiRBase

Nodes13
Edges12
Triples7
Avg. degree1.85
Density0.153846
Components1

Source & methodology

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

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

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