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U of Colorado, Massively Parallel Technologies Partner to Speed Protein ID Software

NEW YORK (GenomeWeb News) - Massively Parallel Technologies said today that it is partnering with the University of Colorado to development and commercialize a software package for proteomics data analysis.
 
Massively Parallel, a provider of accelerated computational technology, said that it will work with Mark Duncan, director of proteomics shared resources at the University of Colorado at Denver and Health Sciences Center.
 
The research teams will apply Massively’s parallel processing software technology to a protein identification software application developed by UCDHSC to identify proteins from tandem mass spectrometry.
 
UCDHSC’s is expected to enable faster and more accurate results than what is currently possible, “but requires tremendous compute power to process the massive amounts of data in a practical timeframe,” Massively said in a statement.
 
“Without the high-performance computing resources, expertise, and innovation that Massively brings to the table, this application would not be of practical use due to its computational demands,” Duncan said in a statement.

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