InforSense, a provider of enterprise real-time analytics, has announced the launch of GenSense, a statistical genetics software built on the company's flagship product - InforSense KDE
"The data handling and analysis capabilities available through InforSense GenSense will significantly benefit the statistical genetics user community in their search for genetic effects on disease," said Ross Lazarus, director of bioinformatics at the Channing Laboratory, Harvard.
"I am particularly excited that functionality from our Rgenetics project is being made available through the GenSense offering; InforSense is the first commercial organisation to do this".
With the throughput that is possible from the new genotyping platforms, genetics is now well placed to deliver on the promise of delivering novel biomarkers.
As whole genome association studies are becoming commonplace, analytics will be even more critical for delivering knowledge from these experiments.
At a recent Mayo Clinic Statistical Genetics Workshop chaired by Jean-Pierre Kocher, bioinformatics core director, the 100 attendees from industry and academia emphasised the need for a high throughput analytical platform for statistical genetics to help identify predictive and diagnostic biomarkers by analysing associations between genotypic and phenotypic data.
The conference was sponsored through an educational grant by InforSense.
"The InforSense KDE architecture, with its ability to incorporate the leading analysis techniques, flexibility in handling multiple data formats and ability to support streaming of very large data sets is ideally suited to provide the underlying platform on which to build GenSense," said Jonathan Sheldon, chief science officer, InforSense.
"What we have heard from researchers worldwide indicates that our product is in sync with academia and industry needs".
InforSense GenSense enables the analysis of data from the latest generation of genotyping platforms.
It has been specifically designed to assist researchers understand complex analyses, quickly find interesting SNPs and produce reports with easy to understand graphical summaries and interactive visualizations of large data sets.
The first version of GenSense supports data from both Illumina and Affymetrix and supports links to standard genomics data sources such as Entrez Gene, HapMap and dbSNPs.
GenSense is currently available to partners under an early access programme, with the general release scheduled for the first quarter of 2007.
