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Inova Powers Genomics with SGI

inova

Today SGI announced that Inova Translational Medicine Institute (ITMI) has selected the company’s supercomputing solutions to enable researchers to obtain insights from its premier genomic databases. With the ability to diagnose patients with more accuracy and speed, ITMI will enable a higher level of treatment and care for the diverse population it serves.

Dell’s GDAP Delivers an Integrated Genomic Processing Infrastructure

Genomics processing

Dell has teamed with Intel to create innovative solutions that can accelerate the research, diagnosis and treatment of diseases through personalized medicine. The combination of leading-edge CPUs from Intel and the systems and storage expertise from Dell create a state-of-the-art solution that is easy to install, manage and expand as required.

Success Stories in Personalized Medicine

Personalized medicine

Universities and hospitals like TGen and NMTRC are seeing an entirely new reality in patient care leveraging HPC clusters. Here are some success stories on on advances in personalized medicine.

HPC Helps Solve Challenges of Personalized Medicine

Genomic Sequencing

A number of challenges exist for both the wider adoption of technologies that can impede personalized medicine workflows and the implementation of such systems. Learn more on how companies like Dell and Intel are delivering complete integrated genomic processing infrastructure.

Benefits HPC Brings to Genomics

HPC Life Sciences

Besides the obvious benefits to individuals, who will receive more targeted diagnosis and treatment, organizations that implement or contribute to personalized medicine can expect a number of benefits.

Removing Bottlenecks in Next Generation Sequencing

Genomic Sequencing

This is the 4th installment of a 6 article series on the trends and technologies impacting the application of HPC in Life Sciences. Here we explore how companies like SGI and Intel address computational and storage problems inherent in Next Generation Sequencing (NGS) applications.

InsideHPC Guide to Genomics

Guide to Genomics Sm

Processing complex genomic data sets requires massive compute power, storage and network capabilities. Getting the balance right is critical to success. The insideHPC Guide to Genomics looks at the benefits, challenges of applying HPC to Genomics as well as many success stories.

Going from the Lab to the Data Center

Genomic Sequencing

In the late 1980s, genomic sequencing began to shift from wet lab work to a computationally intensive science; by end of the 1990s this trend was in full swing. The application of computer science and high performance computing (HPC) to these biological problems became the normal mode of operation for many molecular biologists.

Genomics and Big Data

HPC Life Sciences 2

Advances in computational biology as applied to NGS workflows have led to an explosion of sequencing data. All that data has to be sequenced, transformed, analyzed, and stored. The machines capable of performing these computations at one point cost millions of dollars, but today the price tag has dropped into the hundreds of thousands of dollars range.

Quantifying The Dynamics of Your Superorganism Body Using Big Data Supercomputing

smarr

The human body is host to 100 trillion microorganisms, ten times the number of cells in the human body, and these microbes contain 100 times the number of DNA genes that our human DNA does. UC San Diego CSE Professor, Larry Smarr, discusses how data from these trillions of DNA bases are fed into supercomputers, resulting in innovative scalable visualization systems that allow for the examination of patterns that can be used to suggest new hypotheses for clinical application.