White Papers & Special Reports

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Hadoop’s Rise in Life Sciences
Sponsored by EMC Isilon
By now the ‘Big Data’ challenge is familiar to the entire life sciences community. Modern high-throughput experimental technologies generate vast data sets that can only be tackled with high performance computing (HPC). Genomics, of course, is the leading example. It’s worth noting a single base pair typically represents about 100 bytes of data (raw, analyzed, and interpreted). The need to manage and analyze massive data sets has spurred many new approaches to HPC infrastructure and one – the Hadoop storage and compute framework – is emerging as a preferred (cost and performance) architecture. Learn why and how Hadoop is ideally suited for life science applications and how EMC Isilon has made working with Hadoop easier. 
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The Case for Digital Archiving in Life Sciences
Sponsored by Tessella

It used to be that only large ‘memory institutions’ – national archives, for example – worried about and implemented comprehensive archival systems. Now, the surging data deluge (annual worldwide sequencing capacity today is roughly 13 quadrillion DNA bases) and growing awareness of the business benefits and risk avoidance that comprehensive archiving can deliver are prompting life science organizations to re-think their long-term data archival strategies.  

 

Learn how Tessella’s Safety Deposit Box technology can deliver value for your organization.

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Managing the Modern Genomics Data Flood
Sponsored by SGI

Managing and storing the perfect storm of multi-disciplined data pouring from next generation sequencers and other omics instruments is a central challenge in life sciences. Discover in this paper how the SGI ArcFiniti storage solution, optimized for unstructured genomics and life sciences data can: 

  • Reduce costs, proactively protect data integrity, and deliver the high performance I/O required for genomics data processing and analysis.  
  • Effectively manage capacities from 156TB to 1.4PB as a disk based, integrated hardware and software platform 
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Turning Genomics Data into Practical Insight
Sponsored by SGI

With worldwide sequencing capacity approaching 13 quadrillion DNA bases annually turning genomics data into knowledge is a true computational challenge. Read this paper and learn how the SGI UV coherent shared memory platform can:  

  • Speed results time while cost competitively tackling the most difficult computational problems across all omics disciplines. 
  • Push performance by scaling to extraordinary levels, up to 256 sockets (2,560 cores, 4,096 threads) per single system (one OS image). 

Provide support for up to 16TB of coherent shared memory in a single system image enabling extreme efficiency across a wide range of compute demands. 






For reprints and/or copyright permission, please contact  Tim McLucas, (781) 972-1342, tmclucas@healthtech.com .