Genometrix releases VistaLogic for analysis of gene expression and genotyping data
The system is designed to handle the large number of data points generated by high-throughput microarray-based genomic analyses and enables the analysis of gene expression and genotyping data. It is the first step toward enabling the integration of polymorphism discovery and association data with expression profiles, which could result in the ability to correlate polymorphisms to functional significance, such as transcript splicing variants or promoter regulation.
Currently, the system aids researchers in assimilating data from multiple experiments, combining sample information with array results, and analyzing both gene expression profiles and single nucleotide polymorphism (SNP) frequencies. VistaLogic includes analytical algorithms and three-dimensional visualization techniques designed to enable data exploration and gene and sample profiling, as well as disease-gene associations.
"Healthcare research is rapidly adopting complex studies to investigate disease-gene associations and the linkages between genetic variations and individual differences in drug responses," said Bob Ellis, President of Genometrix. "These research projects require the analysis of thousands of clinical samples and generate hundreds of thousands of data points. Mining these data was virtually impossible before the release of VistaLogic."
The VistaLogic system is available in conjunction with the GenoVista Partnership Program.