In a bid to address the current computational and scalability limitations, DSI researchers were commissioned to study how genome sequencing data is optimised by researchers from Genome Institute of Singapore (GIS), another A*STAR research institute. Research into the characteristics of genome data revealed that existing data compression methods are unlikely to manage current workloads due to inefficiencies and heavy demands for larger memory storage. Building on the collective insights from this earlier project collaboration, Hitachi and DSI are now working towards perfecting the shortfalls identified in current data storage models to design an innovative genome data compression method reduce data storage capacity needs, quicken decompression speeds and lower storage costs.“By raising compression capacity, we can envision smaller genome sequencing facilities to handle petabytes of data in a year compared to current terabytes levels which are mostly restricted to large genome sequencing centres due to storage limitations. DSI will continue to play a pivotal role in enabling new storage technologies for the biomedical research and healthcare industry to accelerate research findings and discoveries,” said Dr Pantelis Alexopoulos, DSI’s Executive Director.
A*STAR supports Singapore's key economic clusters by providing intellectual, human and industrial capital to its partners in industry. It also supports extramural research in the universities, hospitals, research centres, and with other local and international partners.
For more information about A*STAR, please visit www.a-star.edu.sg.About the Data Storage Institute (DSI)
For more information about DSI, please visit www.dsi.a-star.edu.sg.
Further reports about: > A*STAR > Business Vision > DNA > DSI > Design Thinking > Genom > Hitachi > Science TV > Singapore > Storage of Greenhouse Gas > communication system > data storage > genetic disorder > genome sequencing > information technology > storage system > storage technologies > transportation system
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