GenEx offers advanced methods to analyze real-time qPCR data with simple clicks of the mouse. The methods are suitable to select and validate reference genes, classify samples, group genes, monitor time dependent processes and and much more.

GenEx 5 - A powerful tool for qPCR data analysis GenEx is a popular software for processing and analysis of qPCR data. It provides a multitude of functionalities for the qPCR community, ranging from basic data editing and management to advanced cutting-edge data analysis.

Basic data editing and management

Possibly the most important part of qPCR experiments is to pre-process the raw data for subsequent statistical analyses. The pre-processing steps need to be performed consistently in correct order and with confidence. GenEx has a streamlined and user-friendly interface which aids this data handling. Intuitive and powerful presentation tools present professional illustrations of even the most complex experimental designs.

Advanced cutting-edge data analysis

When you need more advanced analyses, GenEx Pro is the place to start. Powerful enough to demonstrate feasibility, it often proves sufficient for most users demands. Current features include parametric and non-parametric statistical tests, clustering methods, principal component analysis, artificial neural networks, and much more. New features are continuously being added to GenEx with close attention to customer needs.

New features

Analysis of variance (ANOVA) is a group of statistical analyses that, among other things, are used to determine whether there is a significant difference of means between several groups. GenEx 5 offers tests to conclude e.g. if the expression profiles differ between cancer subtypes (One-way ANOVA), and e.g. if several treatments affect a set of age groups differently (Two-way ANOVA). The analysis is done with a simple click of a button!

Most qPCR experiments have a nested design with technical replicates in each step, where each step introduces more variance (noise) to the data. The variance contribution from each step can be analyzed and used to optimize the experimental design in future experiments. The GenEx Experimental Design Optimization minimizes the total variation for the experimental design while keeping the total cost under a given budget. The Nested ANOVA analysis lets you investigate the variance contributions, and e.g. see how it changes if you normalize the data with reference genes.

Variance contributions for each step in a nested experimental design, absolute values.

Variance contributions for each step in a nested experimental design, percent of total variance.

GenEx comes in three different packages: Standard, Professional, and Enterpise.
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