Analyze Your $1,000 Genome for as Little as $22

Next-Generation Sequencing (NGS) technologies are transforming the bioinformatics industry. By sequencing whole human genomes at rates of up to 18,000 per year—an average of one genome every 32 minutes— new sequencers have broken the $1,000 genome barrier[1] and opened the door to population studies and clinical usage models that have not been possible before.

Of course, high-volume sequencing generates an enormous amount of data that must be analyzed as fast as it is produced. According to Illumina, it would take an 85-node high performance computing (HPC) cluster to keep pace with its top-of-the-line HiSeq X™ Ten sequencer operating at full capacity.[2]

Drive Down the Cost of Analyzing Your Genomes

Working together, Qiagen Bioinformatics and Intel have developed a reference architecture for a 35-node cluster based on the Intel® Xeon® processor E5 v3 family that meets these same performance requirements, while reducing total cost of ownership (TCO) by as much as $1.4 million over four years. [3] Depending on sequencing volumes and data center efficiency, this solution could enable full analysis of whole human genomes for as little as $22 each.

The Qiagen Bioinformatics and Intel reference architecture uses CLC Genomics Server with the Biomedical Genomics Server extension, which is highly optimized for Intel architecture. The Biomedical Genomics Server solution provides all the advanced tools and capabilities of CLC Genomics Workbench and the Biomedical Genomics Workbench, but is designed specifically for HPC clusters. Geneticists benefit from a powerful workbench, high quality results, and intuitive interfaces that insulate them from the complexities of cluster computing.

Manage Your Data on Massively-Scalable, Centralized Storage

Fast, scalable storage is as important as cluster performance for NGS. The reference architecture includes a 165 TB storage solution based on Intel® Enterprise Edition for Lustre*. Intel packages this open source software with powerful management tools and offers 24/7 support to help organizations manage and protect their data and maintain high reliability and uptime.

This centralized storage system uses high-capacity commodity disk drives to keep costs low, plus a small number of Intel® Solid State Drives (Intel® SSDs) to accelerate the operations that are most critical for fast genome analysis. Like the compute cluster, the storage system is designed to scale on-demand, so you can accommodate rapid growth in a straightforward and cost-effective manner.

Lay the Foundation for Next-Generation Breakthroughs

Today’s powerful NGS technologies will help scientists, labs, and clinics deliver the next wave of scientific and medical innovation. A fast, scalable, and affordable analytics solution can simplify your journey and help keep your costs under control.

Read the story on the Qiagen Blog

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[1] Based on the published output capacity of the Illumina HiSeq X Ten next-generation sequencer. http://www.illumina.com/content/dam/illumina-marketing/documents/products/datasheets/datasheet-hiseq-x-ten.pdf

[2] Source: A workflow for variant calling based on BWA+GATK in the HiSeq XTM System Lab Setup and Site Prep Guide (Part # 15050093 Rev. H July2015). Current version for September 2015 can be found at:https://support.illumina.com/content/dam/illumina-support/documents/documentation/system_documentation/hiseqx/hiseq-x-lab-setup-and-site-prep-guide-15050093-01.pdf

[3] Based on internal performance tests and a total cost of ownership analysis performed by Qiagen Bioinformatics and Intel. Performance tests were conducted on a 16-node high performance computing (HPC) cluster. Each node was configured with 2 x Intel® Xeon® processor E5-2697 v3 (2.6 GHz, 14 core), 128 GB memory, and a 500 GB storage drive. All nodes shared a 165 TB storage system based on Intel® Enterprise Edition for Lustre, 256 TB of 7.2K RPM NL-SAS disk storage and 4 x 800 GB Intel Solid State Drive Data Center S3700 Series supported by an Intel® True Scale™ 12300 - 36 Port QDR Infiniband Switch and a 2x Intel® True Scale™ Single Port HCA’s – (QDR-80 configured by default). The TCO analysis was performed using an internal Intel tool and publicly available product pricing and availability as of October 9, 2015. The TCO for the test cluster was estimated over a 4-year period and compared with the estimated TCO of an 85-node cluster, as described in the Illumina HiSeq X System Lab Setup and Site Prep Guide, Document # 15050093 v01, September 2015. https://support.illumina.com/content/dam/illumina-support/documents/documentation/system_documentation/hiseqx/hiseq-x-lab-setup-and-site-prep-guide-15050093-01.pdf.  To quantify the TCO comparison, specific products were chosen that would fulfill the general specifications defined within the Illumina guide.  Support costs for both systems were estimated as 60 percent of TCO. The performance and TCO results should only be used as a general guide for evaluating the cost/benefit or feasibility of a future purchases of systems. Actual performance results and economic benefits will vary, and there may be additional unaccounted costs related to the use and deployment of the solution that are not or cannot be accounted for.