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Welcome to ICG
A knowledgebase of Internal Control Genes for RT-qPCR normalization

ICG is a wiki-based knowledgebase of internal control genes (or reference genes) for RT-qPCR normalization in a variety of species. Based on community curation, ICG harnesses collective intelligence to integrate a comprehensive collection of internal control genes curated from a large volume of literatures and provides appropriate internal control genes corresponding to specific experimental conditions for both model and non-model organisms.

Nothing great is ever accomplished in isolation. – Yo-Yo Ma
Recent Updates
Canis lupus familiaris.png Bactrocera dorsalis.png Callithrix jacchus-1.jpg Stenella coeruleoalba.png Artemisia annua.png
Domestic dog
Canis lupus familiaris
Oriental fruit fly
Bactrocera dorsalis
Common marmoset
Callithrix jacchus
Striped dolphin
Stenella coeruleoalba
Artemisia annua
Neurospora crassa.png Panax ginseng.png Ganoderma lucidum-1.jpg Sedum alfredii.png Arachis hypogaea.png
Neurospora crassa
Neurospora crassa
Panax ginseng
Ganoderma lucidum
Sedum alfredii
Arachis hypogaea

  >> More...

Gene Ontology 1.png
  • 7 miRNA-related projects describing internal control genes for RT-qPCR normalization are included in ICG
  • ICG-version 1.0 is online
    • A total of 209 species are integrated in ICG, including 73 Animals, 115 Plants, 12 Fungi and 9 Bacteria
    • More than 70 kinds of experimental conditions are included, such as Salinity, Heat and Insecticide Treatment
    • 757 internal control genes with experimental validation are curated, such as EF1α, Ubiqutin and ACT
  • More than 200 literatures on Selection of Internal Control Genes are curated
  • The second round of investigation research on ICG project is completed
  • The first round of investigation research on ICG project is completed
To be curated
Species Literature
Prunus persica
Burkholderia pyrrocinia
Shiraia bambusicola
Poa pratensis
Joining ICG
  • ICG allows any user to view and search but only registered users can add and edit content.
  • To become a registered user, please email the ICG Team at to tell us your preferred login name, real name, research interests, etc., and we will set up an account for you.
  • Please also spread this news to any one who might be of interest.
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