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MiRBase

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.

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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

Topics to explore

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Overview

Advanced semantic analysis

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Map overview Semantic statistics

MiRBase

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

How this topic connects Entity context

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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 Word statistics

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

Entity relationships Subject–Predicate–Object triples

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

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

    Connections between topic areas Semantic bridges

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    Min side: 3
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