Qlucore, a world leader in the development of bioinformatics software, has today unveiled the Qlucore Omics Explorer 2.0, a newly enhanced data analysis tool that has been developed for the life science and biotech industry. With its highly intuitive user interface, Qlucore Omics Explorer will allow researchers to shorten analysis time and add more creativity to research, thanks to the product’s amazing speed and statistical analysis capabilities.
As it provides users with immediate results, this latest version of Qlucore’s software (previously known as Qlucore Gene Expression Explorer) will enable researchers to explore different hypotheses and alternative scenarios within seconds. The software will therefore be invaluable for unveiling important new discoveries, as it will allow the actual researchers – the people with the most biological insight – to study the data and to look for patterns and structures, without needing to be a statistics or computer expert.
“Qlucore Omics Explorer 2.0 has been specially designed to improve everyday efficiency and stimulate creative data analysis,” says Carl-Johan Ivarsson, president of Qlucore. “As with previous versions of our software, Qlucore Omics Explorer can provide extremely fast analysis of data sets that contain many samples – even those containing more than 100 million data samples – on a regular PC.”
The latest enhancements to Qlucore Omics Explorer mean that the software can provide researchers with very powerful (and highly interactive) hierarchal clustering capabilities. The results are presented both as cluster trees and as a heatmap. The heatmap view works in full synchronisation with each of the other four plot types (PCA sample, PCA variable, scatter and data table).
Researchers can work simultaneously with all five plot types – all of which can be fully synchronised – even if the most common usage will include a subset. As such, if a researcher uses the software’s powerful statistical filters, or wishes to deselect a sample group, all five plots are immediately updated to reflect this new point in the analysis.
Scatter plots, which can be used to plot how one variable is distributed over a group of samples, represent another new plot type in Qlucore Omics Explorer 2.0. With scatter plots the grouping is freely selected among the annotations available for samples. Scatter plots are good for quality control and for presenting key findings and results.
Also new in Qlucore Omics Explorer 2.0 is a powerful log function which allows users to restore their research to an earlier point in their analysis. Since many users often work on parallel projects, it is important to keep track of the analysis steps. As a result, Qlucore Omics Explorer 2.0 gives the user full freedom to explore data in their own way, with the log function available to ensure that the user can document exactly which steps have been taken, without being forced to follow a single path.