Integromics Releases New Version of its qPCR Data Analysis Software

Integromics® has announced that it has released Version 5.0 RealTime StatMiner® software for qPCR gene expression workflows.

“Our customers have been asking for enhanced processivity of large data files and advanced statistical analysis of complex experimental results”, says Victor Canivell, CEO, Integromics. “Given the high throughput requirements of many-RT-qPCR projects, our enriched version of RealTime StatMiner software has been developed to fulfill the needs of our customers.”

With an increased number of plates in high throughput applications, Version 5.0 addresses the new challenges for qPCR data analysis by including an improved data loader to easily handle large data files from a variety of instrument platforms and a new method for normalization of data across multiple plates.

In this way Version 5.0 enhances the reliability of qPCR data analysis from experiments that may have been performed at different times and locations Moreover, with the new interactive Principal Component Analysis (PCA) tool, now it is possible to identify outliers and clusters of genes or samples with similar expression patterns within datasets that are becoming increasingly larger and more complex.

Version 5.0 also provides new features for reporting of RT-qPCR analysis results, such as the automatic generation of gene lists showing altered expression between conditions and multiple comparison visualizations.

With this release, RealTime StatMiner steps into the era of single-cell transcriptomics by incorporating a new workflow for single-cell qPCR data analysis.

“Single-cell analysis is becoming more popular in research both in industry and academia, and the new version of RealTime StatMiner allows Integromics to position itself as a competitive player in this field”, says David Gonzalez, product manager, Integromics.