Accelerate Precision Medicine Discoveries With Genomics Analytics

Genomics analytics powered by high-performance computing accelerates biomedical insights and unlocks the power of precision medicine.

The right treatment for the right person at the right time. That is the promise of precision medicine and this transformation begins with investments in genomics analytics.

Fast and affordable analysis of genome sequencing data offers the promise of producing answers to some of medicine’s most intractable problems – that is if researchers can keep up with genomic data that is doubling every 8 months. Researchers are under pressure to accelerate biomedical discoveries yet do so in a predictable, reliable, and cost-effective manner.

Intel has a solution. Intel’s reference architecture for genomics clusters, based on Intel® Scalable Solutions Framework (Intel® SSF) can increase the throughput of high performance computing clusters and optimized genomics codes. These solutions empower researchers to produce results on a predictable schedule, spend less time programming and more time discovering, and reduce total cost of ownership of genomics analytics.

The raw data from thousands of genomes offers unprecedented medical potential, provided researchers can keep up with the tide of data. Huge amounts of genomic data allow bioinformaticians and computational biologists to discover new DNA variants that were not detectable with smaller data sets. High-performance computing solutions offer the ability to handle this data, while paving the way for personalized genomic analysis and care.

QIAGEN Bioinformatics and Intel developed a cluster reference architecture that can pace with a high-end NGS that require analyzing 30 terabytes of data per day, and enable full analysis of whole genomes for as little as $22.1

Intel and the Broad Institute of MIT and Harvard have created a guide that provides the preferred Intel®-based recommended hardware platform for running the GATK* Best Practices Pipeline.

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1Source: “Analyzing Whole Human Genomes for as Little as $22.”, March 2016.