JAMESBURG, N.J., March 7, 2007 (PRIME NEWSWIRE) -- The BioAnalytics Group announces its new software for biomedical researchers, BioPathwise DM(tm) at the Tucson Symposium, organized by Ventana Medical Systems, March 6 and 7. The meeting brings together thought leaders for discussions on "Driving the Practice of Pathology Forward in Drug Discovery, Development, and Clinical Diagnostics".
"As we were observing laboratory workflow in our collaborations, it became clear that today's researchers are having a real challenge finding and organizing their data," said Scott Lett, CEO of The BioAnalytics Group. "Many scientists store data on their hard drive, with long, complex filenames to help them find it later. It sometimes takes days or weeks to find the results of a previous experiment; some data is never found. Some labs were even redoing their experiments because they had given up on finding the raw data and associating it with the summary information to make it meaningful."
BioPathwise DM is a server-based system that makes it easy for groups of researchers to document, store, and share data along with any reports, records, peer reviewed journals, or other relevant information that helps explain it. The system allows labs to make the information available to anyone it chooses in a secure environment, accessible on the web from any location.
In its initial release, scheduled for late March, the system will help organize data from any instrument or software application, and will include modules with advanced features for qPCR data and image data.
About The BioAnalytics Group
Founded in 2003 as a spinout from Physiome Sciences, The BioAnalytics Group offers systems biology services and products to biomedical researchers, pharmaceutical and academic laboratories, medical device developers, and diagnostics companies. BioPathwise(r), released in 2006, enables communication between traditional and computational biologists and provides advanced data analysis and data management features. BioPathwise DM was developed to solve data bottleneck problems that plague laboratories awash in data from multiple sources, "future-proofing" today's valuable work product. Both products are part of a system developed to help researchers respond to the NIH requirement for data sharing and publication. Parts of this work were supported through a contract to provide the data sharing and bioinformatics component of the computationally-based immunology research center, PRIME. (NIAID-sponsored Immune Modeling for Biodefense contract NIAID HHSN266200500021C). Based at the Mt. Sinai School of Medicine, collaborating sites include Ohio State, Princeton University and Yale.
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