ArticleBioinformatics advances2025
HeraNorm: an R shiny application for identifying optimal endogenous controls for miRNA and RNA assays in qPCR and ddPCR.
Article in Bioinformatics advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Identification of candidate microRNA biomarkers of endometriosis in different bodily fluids.Scientific reports · 2026Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
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