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.
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.
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.
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.
The term next generation sequencing (NGS) is really a misnomer. NGS implies a single methodology, but the fact is that over the past 10 to 15 years there have been multiple generations and the end is nowhere in sight. Technological advances in the field are continuing to emerge at a record setting pace.