The NGS Dilemma: Big Data Storage
Next generation sequencing (NGS) is on track to become one of the largest data producers. With new sequencing instruments allowing for higher throughput and increased adoption of personalized medicine, the amount of NGS data generated will soon exceed the capacity to store it. NGS users typically choose to store raw data files (FASTQ), intermediate alignment files (BAM), and variant calling files (VCF) indefinitely. As a result, companies must invest heavily in their IT infrastructures to store the increasing amounts of NGS data.
DRAGEN G3: Clearing the Big Data Bottleneck
To address the challenge of preserving large amounts of NGS data in a cost-effective way, Edico Genome has developed G3 Compression Technology to run on its DRAGEN Bio-IT Platform. G3 provides lossless, near real-time compression of NGS data. G3 utilizes the DRAGEN Workflow Management System (WMS) to provide users with a seamless, automated way to analyze, store, and recall NGS data on a single platform. G3 compression and storage is available both onsite or in the Cloud, providing users with flexibility to suit their particular needs.