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Our qPCR analysis software has been specifically developed to analyze data generated from AnyGenes® SignArrays®.
Designed for researchers working on signaling pathways and biomarker profiling, this Excel-based tool enables fast, reliable, and reproducible gene expression analysis without requiring advanced bioinformatics expertise.
Built on the ΔCq calculation method, the software allows accurate normalization using selected housekeeping genes and delivers structured, publication-ready outputs.
The software enables researchers to:
All calculations follow standardized gene expression analysis principles to ensure scientific robustness and reproducibility.
ΔCq Normalization
Automatic normalization using selected housekeeping genes.
Multi-Condition Comparison
Simultaneously analyze up to 10 experimental groups within the same Excel workbook.
Publication-Ready Graphs
Instant visualization of fold-change data and statistical outputs.
Pathway-Focused Analysis
Optimized specifically for SignArrays® signaling pathway panels.
User-Friendly Interface
No advanced coding or bioinformatics skills required.
Generic spreadsheet templates can introduce calculation errors and inconsistencies.
Our software ensures:
For pathway-level gene expression studies, methodological consistency is critical — this tool ensures analytical rigor from raw Cq values to biological interpretation
Our qPCR analysis software is compatible with all AnyGenes® SignArrays®, enabling standardized gene expression analysis across a wide range of biological pathways and research domains.
It is routinely used in studies involving:
Because the software is pathway-agnostic, it can be applied to any signaling network analyzed with SignArrays®.
It is particularly valuable for biomarker validation, pathway activation profiling, and translational research projects
Scientific data is only as powerful as the analysis behind it.
AnyGenes® provides a dedicated data analysis tool specifically developed for SignArrays® pathway panels.
What does it allow you to do?
Developed on Excel (compatible with 2007+), the software is user-friendly and requires no advanced bioinformatics skills.
The Excel-based qPCR analysis software is available for registered users.
Designed to simplify pathway analysis and accelerate publication-ready results.
A qPCR analysis software is a tool designed to process raw Cq values, perform normalization, calculate relative gene expression levels, and generate structured outputs for biological interpretation.
The software uses the ΔCq method, normalizing gene expression against selected housekeeping genes to ensure accurate and reproducible results.
Yes. The software allows comparison of up to 10 experimental groups within the same Excel workbook.
No. The interface is designed for researchers and laboratory scientists, requiring no advanced coding skills.
Yes. The software is fully compatible with all AnyGenes® SignArrays® signaling pathway panels.
Looking for more answers? Visit our Help & FAQ section to find detailed informations about our products, services, and technical support.