The World’s First Bio-IT Processor

Ultra-Rapid Next Generation Sequencing Data Analysis

Edico Genome has created the world’s first bioinformatics processor designed to analyze next-generation sequencing data, DRAGEN™.  The DRAGEN (Dynamic Read Analysis for Genomics) Processor uses a field-programmable gate array (FPGA) to provide hardware-accelerated implementations of genome pipeline algorithms, such as BCL conversion, compression, mapping, alignment, sorting, duplicate marking and haplotype variant calling. The highly flexible DRAGEN platform, allows Edico Genome to develop custom algorithms as well as refine and improve existing pipelines. The DRAGEN Platform can be utilized onsite, in the cloud or as a seamless hybrid cloud that includes a fully functional and easy to use Web Portal and Workflow Management System.



Remove the bottleneck from your NGS data analysis pipeline with the DRAGEN Bio-IT Processor. DRAGEN massively accelerates all of the secondary analysis algorithms while simultaneously improving accuracy!


By architecting DRAGEN™ from the ground up to be a highly optimized, reconfigurable platform, it is able to achieve NGS data processing speeds orders of magnitude faster than any other methods – without any compromises.


The reconfigurable DRAGEN™ Bio-IT Platform can be loaded with highly optimized algorithms for many different NGS secondary analysis pipelines such as Whole Genome or Exome, RNAseq, Methylome, Microbiome and Cancer.


By incorporating multiple analyses and not resorting to heuristic methods like all other NGS data analysis methods, DRAGEN™ produces the highest possible accuracy for clinical interpretation and treatment guidance.

Revolutionizing Genome Sequencing Analysis

At Edico Genome, we’re helping usher in the new era of personalized medicine by enabling a fundamental change in healthcare with customized treatments and data-driven insights tailored to the individual. At the heart of personalized medicine, DNA sequencing technology is advancing at an even more rapid pace than the cell phone revolution. By increasing the speed and accuracy for NGS data analysis like whole genome sequencing (WGS), our computing platform makes it easier to discover links between DNA sequence variations and human disease.

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