Edico Genome has been developing genetic-analysis algorithms for a while now. (See this Xcell Daily story from 2015, “FPGA-based Edico Genome Dragen Accelerator Card for IBM OpenPOWER Server Speeds Exome/Genome Analysis by 60x”). The company originally planned to accelerate its algorithm by developing an ASIC, but decided this was a poor implementation choice because of the rapid development of its algorithms. Once you develop an ASIC, it’s frozen in time. Instead, Edico Genome found that Xilinx FPGAs were an ideal match for the company’s development needs and so the company developed the Dragen Accelerator Card for exome/genome analysis.
Edico Genome now offers cloud-based genomic processing and genomic storage in the cloud through Amazon’s AWS EC2 F1 Instance. Like its genomic analysis algorithms, the company’s cloud-based genomic storage takes advantage of the FPGA acceleration offered by Amazon’s AWS EC2 F1 Instance to achieve 2x to 4x compression. When you’re dealing with the human genome, you’re talking about storing 80Gbytes per genome so fast, 2x to 4x compression is a pretty important benefit.
This is all explained by Edico Genome’s VP of Engineering Rami Mehio in an information-packed 3-minute video: