TGen Reduces Data Storage Requirements for Genomic Data

According to this report on EurekAlert, a new data compression technique called Genomic SQueeZ (G-SQZ), developed by the Translational Genomics Research Institute (TGen), will allow genetic researchers and others to store, analyze and share massive volumes of data in less space and at lower cost.

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"Plans are to make the G-SQZ program freely available for research and academic use, and to explore commercial opportunities in genomic data storage and processing. TGen has filed a patent application for the G-SQZ technology.

"'Data storage and processing costs are becoming a large factor in research planning as high-throughput genomic sequencing studies continue to generate increasing amounts of data. G-SQZ has the potential to save individual institutes hundreds of thousands of dollars per year in storage costs,' said Dr. Waibhav Tembe, the paper's lead author and TGen's Senior Computational Scientist, who led the development of the G-SQZ algorithm and its software."

Read the Full News Release at EurekAlert