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July 12, 2012

Intel, NextBio partner to advance Big Data technology use in genomics

The improvements made by NextBio to the Hadoop stack will be ontributed to the open-source community

By CBR Staff Writer

Chip maker Intel and NextBio have partnered to advance the use of Big Data technologies in genomics and optimse, stabilise the Hadoop stack.

The two companies will apply the experience gained from NextBio’s use of Big Data technologies to improve the HDFS, Hadoop, and HBase.

The improvements made by NextBio to the Hadoop stack will be contributed to the open-source community while Intel will also showcase NextBio’s use of Big Data.

NextBio Engineering chief technology officer and vice president Satnam Alag said the use of Big Data technologies at NextBio enables researchers and clinicians to mine billions of data points in real-time to discover new biomarkers, clinically assess targets and drug profiles, optimally design clinical trials and interpret patient molecular data.

"As we further scale our infrastructure to handle this growing data resource, we are excited to work with Intel to make the Hadoop stack better and give back to the open-source community," Alag said.

"The use of Big Data technologies at NextBio enables researchers and clinicians to mine billions of data points in real-time to discover new biomarkers, clinically assess targets and drug profiles, optimally design clinical trials, and interpret patient molecular data."

Intel Big Data Software and Services CTO and general manager Girish Juneja said complex data requiring compute-intensive analysis needs not only Big Data open source, but a combination of hardware and software management optimisations to help deliver needed scale with a high return on investment.

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"Intel is working closely with NextBio to deliver this showcase reference to the Big Data community and life science industry."

NextBio is a privately owned software company that provides a platform for drug companies and life science researchers to search, discover, and share knowledge across public and proprietary data.

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