"The life sciences are going through a generational transformation, powered by genomics... I've had the privilege of being at or near the center of genomics research for almost 20 years, and can say with full confidence that those aiming for leadership positions will certainly require the type of SDM capabilities that GenomeQuest uniquely provides."-Mark Boguski, MD, PhD, Harvard Medical School, Department of Pathology and the Center for Biomedical Informatics
How does GenomeQuest work for IT managers? By scaling to meet your research and discovery needs.
For IT managers, NGS represents an increase in sequence data volume by 10,000X -- giving rise to the concern "can we scale to NGS?". Furthermore, the challenge is more than just volume – it's complicated by the nature of the data. Sequence data is largely unstructured -- efficiently mining it does not lend itself well to traditional database management solutions and scaling is not a simple matter of buying more machines.
The GQ-Engine of GenomeQuest is purpose-built for large-scale sequence data management. As organizations grow into NGS, its distributed architecture maintains performance and accuracy across all critical dimensions: users, data, and tools. Also, because the compute environment, the data storage, and the management of data and workflows are all central, shared resources, the entire discovery environment of the research organization can also scale comfortably to NGS.
Genomics is surely not the first industry to face a challenge of massive scalability of unstructured data. The most notable example is Google for web searching, where the BigFile database is purpose-built for mining the entire Internet.
GenomeQuest is commercially available for use by researchers and organizations online -- for fast startup and low cost of ownership, or fully deployed inside the customer firewall -- for maximum control and integration.
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