Tools will bring a deeper level of analysis to accelerate the identification of proteins and their modifications that are scientifically and commercially important
Proteome Systems and Csiro have announced the signing of an agreement to develop powerful tools for the multivariate statistical analysis of protein expression data.
These tools will bring a deeper level of analysis to Proteome Systems's bioinformatics platform which includes BioinformatIQ and ImagepIQ, to accelerate the identification of proteins and their modifications that are scientifically and commercially important. Such proteins are key to the understanding and monitoring of disease, defining metabolic pathways, and identifying and validating potential drug targets.
"With the increasing sophistication of proteomic technologies, researchers are asking complex questions of biological systems, and it is crucial to understand which genetic and environmental variables are affecting protein expression and behaviour", said Marc Wilkins, VP of bioinformatics at Proteome Systems. "Multivariate statistical tools allow the massive proteomic data sets to be explored in depth to reveal which of the thousands of proteins under study are contributing to the changes in a biological system or disease".
David Mitchell, business development manager of Csiro Bioinformatics, said: "Our experience in the development and optimisation of algorithms for advanced multivariate statistics, in conjunction with Proteome Systems's advanced proteomic bioinformatics and experience in integration of proteomic technologies will facilitate the development of powerful new data mining tools.
"We are excited to have this opportunity to expand our relationship with Proteome Systems from image analysis into the data mining field".
