The next-generation sequencing (NGS) industry is set to become one of the largest producers of data by 2025, raising the question: How can we process and store such vast amounts of data?
The void between Moore’s Law, which states CPU capabilities will double every two years, and the projected doubling of genomic data every seven months creates a constraining bottleneck for the entire genomic testing industry.
As an alternative to traditionally used CPU-based systems, FPGAs (Field-Programable Gate Array) are able to process genomic data at much quicker speeds, enabling institutes to keep up with high throughput demands.
Edico Genome’s DRAGEN™ (Dynamic Read Analysis for Genomics) Bio-IT Platform leverages FPGA technology to provide customers with hardware-accelerated implementation of genome pipeline algorithms.
In contrast to conventional CPU-based systems that inefficiently execute lines of software code to perform an algorithmic function, FPGAs implement these algorithms as logic circuits, providing an output almost instantaneously.
In addition, these logic circuits are replicated thousands of times over, allowing for massive parallelism, unlike CPUs which are limited to running only one task per core. FPGAs are also fully reconfigurable, enabling customers to switch between functions and pipelines within seconds. Furthermore, DRAGEN incorporates multiple analyses rather than utilizing heuristic methods to produce the highest possible accuracy for clinical interpretation and treatment guidance.
As a result, FPGA based solutions, such as DRAGEN, can deliver extremely high accuracy while functioning with industry leading speed, accuracy and parallelism.
DRAGEN can process an entire human genome at 30x coverage in about 20 minutes, as compared to over 20 hours using a traditional CPU-based system. Edico Genome’s partnership with Rady Children’s Institute of Genomic Medicine is a testament to how DRAGEN’s FPGA platform is revolutionizing genomic testing. Utilizing DRAGEN, Dr. Stephen Kingsmore won a Guinness World Record in 2016 for the Fastest Genetic Diagnosis for successfully diagnosing a critically ill newborn in 26 hours. The institute also depends on DRAGEN’s accuracy to ensure its newborns are receiving the correct diagnoses and correlating treatments.
To start accelerating your genomic data analysis, get started with DRAGEN today: http://www.edicogenome.com/dragen-bioit-platform/get-dragen-now/