BEIJING — (Marketwire) — 12/13/11 — NVIDIA today announced that , the world-s largest genomics institute, has slashed the time to analyze batches of DNA sequencing data from nearly four days to just six hours using a NVIDIA® Tesla GPU-based server farm.
The speed up is considered a critically important step in determining, in an affordable manner, the chemical building blocks that make up a DNA molecule. This is key for the genomics industry to achieve its target of the $1,000 genome — the point at which genomics can be used in clinical diagnostic tests as a practical component of patient care.
“We are drowning in the genome data that our high-throughput sequencing machines create every day,” said Dr. Bingqiang Wang, head of high performance computing from BGI. “GPU acceleration of our genome analysis applications enables our scientists to crunch through data and gain insights into bacteria, plants and humans faster than was ever possible. It offers the potential for researchers and healthcare professionals to identify highly effective and affordable individualized medicines and treatments.”
BGI researchers and collaborators have developed three genome data analysis applications that are accelerated by NVIDIA Tesla GPUs:
– Aligns short reads from the sequencing machine against existing reference genome sequences. Through GPU acceleration, the SOAP3 aligner can find all three-mismatch alignments in tens of seconds per one million reads, instead of tens of minutes without GPU acceleration. This means that sequencing and assembling of individual genomes for comparison to those previously sequenced and studied can be performed quickly to understand potential future disease states and treatments.
(SNP detection) – A GPU-accelerated version of the widely used SOAPsnp software that detects variation of a single nucleotide polymorphism (SNP) in the DNA of a genome. These DNA SNP variations can be used to study how individuals develop diseases differently and respond to bacteria, viruses and medicines.
GAMA (high resolution genotyping tool) – Finds the distribution of the occurrence or frequency of particular gene variants, such as eye color or the propensity for prostate cancer in a set of genes.
“The only way for science to reach the $1,000 genome milestone is through technologies that make analyzing DNA data easier, faster and more affordable,” said Sumit Gupta, manager of the Tesla business at NVIDIA. “GPU computing enables researchers to achieve game-changing speedups in their scientific applications, which can help reduce the cost and complexity of all types of critical research.”
BGI does groundbreaking work in sequencing the genomes of a wide range of life forms, ranging from plants and E.coli to the giant panda, to develop better medicines, improve healthcare and develop genetically enhanced food. BGI-s sequencing output is expected to soon surpass the equivalent of more than 700,000 human genomes per year, a dramatic increase over initial efforts, which took 13 years to sequence a single genome.
Tesla GPUs are massively parallel accelerators based on the NVIDIA CUDA® parallel computing architecture. Application developers can accelerate their applications either by using CUDA C, CUDA C++, CUDA Fortran, or by using the simple, easy-to-use directive-based compilers.
For more information about BGI, visit the . To learn more about Tesla GPUs, visit the . To learn more about CUDA, visit the .
For more NVIDIA news, company and product information, videos/images, and other information, visit the .
(NASDAQ: NVDA) awakened the world to computer graphics when it invented the in 1999. Today, its power a broad range of products from to . NVIDIA-s are used in , and . rely on GPUs to enjoy spectacularly immersive worlds. Professionals use them to create visual effects in movies and design everything from golf clubs to jumbo jets. And researchers utilize GPUs to advance the frontiers of science with . The company holds more than 2,100 patents worldwide, including ones covering ideas essential to modern computing. For more information, see .
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Certain statements in this press release including, but not limited to statements as to: the impact and benefits of NVIDIA Tesla GPUs, NVIDIA CUDA parallel computing architecture and directive-based compilers; and the effects of the company-s patents on modern computing are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the reports NVIDIA files with the Securities and Exchange Commission, or SEC, including its Form 10-Q for the fiscal period ended July 31, 2011. Copies of reports filed with the SEC are posted on the company-s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
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