JAMESBURG, N.J., May 31, 2007 (PRIME NEWSWIRE) -- The BioAnalytics Group has launched its new software for biomedical researchers, BioPathwise(r) DM. Developed in collaboration with small research groups in industry and academia, the new system makes it easier to capture, secure, share and publish data from any laboratory instrument in any format -- images, spreadsheets, documents, etc.
The system was developed to address bottlenecks found in laboratories in academic, pharmaceutical, and biotechnology research settings. "Many scientists store data on their hard drives," says Scott Lett, Ph.D., co-founder and CEO of The BioAnalytics Group. "Typically they try to tag the data with long, complex filenames in hopes that they will be able to identify the files later.
"We have observed that it sometimes takes days or weeks for researchers to find the results of a previous experiment," says Dr. Lett. "Some data is never found, and it is not uncommon to find that labs are even redoing their experiments. It is a terrible waste of valuable work, and is a frustrating situation for researchers. Data management woes have made it more difficult for researchers to obtain funding, arrive at correct conclusions, and publish results. This is exactly why we became engaged, and why we see this as an opportunity for significant impact for our customers."
BioPathwise DM
The BioPathwise DM system fits seamlessly into the research laboratory work flow, saving raw data in association with the summary information that makes it meaningful. It is a lightweight application that can be downloaded and set up for small groups by a lab head or principal investigator with basic computer skills. For larger organizations, The BioAnalytics Group provides guidance on server configuration and network installation. The flexibility of the system allows it to fit into any computer infrastructure an organization may have.
The system allows labs to make the information available to anyone it chooses in a secure environment, accessible on the web from any location. Groups of researchers can easily document, store, and share data along with any reports, records, copies of peer-reviewed articles, or other relevant information that helps interpret the raw experimental data.
The BioAnalytics Group developers are already working on modules with advanced features for seamless integration with popular laboratory technologies such as RNA interference, gene microarrays, qPCR, cytometry and digital microscopy data.
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