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Published on: August 3, 2011
HeraNorm: an R shiny application for identifying optimal endogenous controls for miRNA and RNA assays in qPCR and
Yao Hu1, Xiaochun Xu1, Yirong Shen1
1HerAnova Lifesciences, Hangzhou, 310018, China.
Motivation:
Normalization is a critical step in quantitative PCR (qPCR) and droplet digital PCR (ddPCR) experiments to ensure accurate and reproducible gene expression analysis. However, commonly used endogenous controls such as miR-16 for miRNA assays and GAPDH for RNA assays have been shown to be unsuitable in certain disease conditions due to expression variability.
Results:
Here, we present a R Shiny application designed to identify the most stable endogenous controls specific to a given dataset or disease. Our interactive tool enables researchers to select optimal reference genes that can enhance the reliability of miRNA and RNA quantification in routine clinical diagnostic tools such as qPCR and ddPCR.
Availability And Implementation:
HeraNorm is implemented in R and is available at https://github.com/Heranova-Lifesciences/HeraNorm.
