Sage-N Research and Nonlinear Dynamics Sign Co-Marketing Agreement
News Feb 25, 2011
The Sage-N Research SORCERER appliance provides a unique combination of proprietary hardware with a range of proprietary post-processing software tools, which enable the most accurate and sensitive identification and characterization of low abundance phospho-proteins and post-translational modifications (PTMs), using its new SEQUEST 3G algorithm.
Nonlinear Dynamics’ Progenesis LC-MS software is a natural extension to this product offering as it features the much needed quantification functionality. It can be used for both differential protein expression and protein characterisation applications. Progenesis LC-MS quantifies peptides and proteins independently of identification, thus ensuring users capture all of the interesting protein data in their experiments. The software is platform independent and will integrate with a wide range of instrumentation.
The SORCERER also features high-level server based solutions for storage and back-up of the complex data-sets generated by third party applications such as Progenesis LC-MS. It also offers rapid processing of complex data-sets.
“We have found that many of Sage-N Research’s customers are increasingly concerned with achieving superior quantitation” comments Ali Pervez, vice president of marketing and sales Sage-N Research. “This can often be a rate limiting step but we believe that Nonlinear Dynamics’ Progenesis LC-MS software will assist greatly in providing a complete workflow solution.”
“A further benefit of the collaboration will be in data analysis” adds Mark Bennett, general manager of Nonlinear Dynamics U.S.A. “Often large volumes of data have to be saved and customers struggle with adequate data storage. However, this problem is solved using Sage-N Research’s SORCERER platform.”
Computer bits are binary, with a value of 0 or 1. By contrast, neurons in the brain can have all kinds of different internal states, depending on the input that they received. This allows the brain to process information in a more energy-efficient manner than a computer. A new study hopes to bring the two closer together.
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