Leading Big Data Company Appistry Joins Genome Institute of Singapore to Accelerate Genomics in Asia

November 29, 2012

By Bio-IT World Staff   

November 28, 2012 | On the heels of Appistry’s announcement with the Broad Institute as distributor of the GATK (see, “Appistry to License Broad's GATK 2.0 to For Profit Users”), the high-performance computing company announces a research collaboration with the Genome Institute of Singapore.   

“We are excited about this collaboration as it leverages on our computational genomics platform,” said Professor Huck Hui NG, GIS executive director in a press release. “Through this collaboration, we will develop a pipeline which enables us to analyze next generation sequencing data more effectively.” 

“Appistry’s technology will enable GIS to take a huge amount of data and rapidly advance their analytics and efficiently use their science to improve public health,” said Sultan Meghji, Appistry’s vice president of product strategy.  

GIS strategically focuses on scientific discovery through a fusion of genomic and computational approaches with cell and medical biology. The collaboration is dedicated to accelerating the development of research methods and discoveries in human genome analytics and genomics. GIS aims to act as an Asian hub for collaboration among clinical genomics researchers in many pioneering fields, including clinical diagnostics and cancer biology. 

“We expect this collaboration to inspire, enable, and accelerate efforts in the emerging field of complex pedigree and traits analytics and to catalyze discoveries and advance the understanding of this important area of biology,” said Prof. Michael Rossbach, head of the Office of Business Development at GIS. 

“The push toward translational and personalized medicine requires organizations to wrap their science within systems and applications that can provide actionable results from big data,” said Meghji. “Our global partnership with Broad and our regional partnership with GIS better enable our customers to capture the scientific best practices and capabilities they need in an environment that scales to modern throughput demands.”