Qlucore has unveiled the Qlucore Omics Explorer 2.0, an enhanced data analysis tool that has been developed for the life science and biotech industry.
Qlucore Omics Explorer is designed to allow researchers to shorten analysis time and add more creativity to research.
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 hypothesis and alternative scenarios within seconds.
The company said that the software will be invaluable for unveiling new discoveries, as it will allow the actual researchers - those 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 designed to improve everyday efficiency and stimulate creative data analysis,' said Carl-Johan Ivarsson, president, 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,' he added.
The latest enhancements to Qlucore Omics Explorer mean that the software can provide researchers with powerful (and 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 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 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.
