Stampa

BGI Tackles DNA Data Deluge Using NVIDIA Tesla GPUs

 
 

World’s Largest Genomics Institute Using GPUs in Its Work Pioneering a New Era of Affordable Personalized Medicine

Product PR
Luciano Ballerano
PR Manager Italia
NVIDIA
lballerano@nvidia.it


Agenzia di PR
Preview Public Relations
Marzia Musati
nvidia@previewitalia.com
www.previewitalia.com

La server farm basata su GPU NVIDIA Tesla allestita da BGI
La server farm basata su GPU NVIDIA Tesla allestita da BGI

Di seguito comunicato stampa con cui NVIDIA annuncia che il BGI, il più grande istituto per la genomica al mondo ha diminuito significativamente i tempi per l'analisi delle sequenze del DNA da quattro giorni a sei ore, grazie alla nuova server farm basata su GPU NVIDIA Tesla.

La velocizzazione dei tempi è in questo ambito molto importante e cruciale per conseguire l'obiettivo di poter utilizzare la genomica nei test diagnostici come un componente della cura del paziente ($ 1000 genome). In particolare, i ricercatori del BGI hanno sviluppato tre applicazioni per l'analisi dei dati genomici che sono accelerate da GPU NVIDIA Tesla: SOAP3 aligner, GSNP e GAMA (highresolution genotyping tool).

Maggiori informazioni sono disponibili nel comunicato stampa in inglese sottoriportato:

BEIJING — GTC Asia — Dec. 14, 2011— NVIDIA today announced that BGI, 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:

  • SOAP3 aligner – 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.
  • GSNP (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 BGI web site. To learn more about Tesla GPUs, visit the Tesla web site. To learn more about CUDA, visit the CUDA web site.

For more NVIDIA news, company and product information, videos/images, and other information, visit the NVIDIA newsroom.

Informazioni su NVIDIA
NVIDIA (NASDAQ: NVDA) ha mostrato al mondo intero la reale potenza della grafica computerizzata con l’invenzione della GPU, avvenuta nel 1999. Oggi i suoi processori sono la base fondante di una vasta gamma di prodotti, che spaziano dagli smartphone ai supercomputer. I processori mobile di NVIDIA vengono usati nei telefonini, nei tablet e nei sistemi di infotainment per automobili. I giocatori su PC si affidano alle GPU per accedere a mondi virtuali di grande spettacolarità e immersività. I professionisti li usano per creare effetti visivi per i film e per la progettazione di qualsiasi cosa, dai campi da golf sino ai Jumbo Jet. Infine, i ricercatori utilizzano le GPU per espandere le frontiere della scienza grazie a soluzioni di high performance computing. La società è proprietaria di oltre 2.100 brevetti internazionali, fra cui quelli di idee essenziali per il computing moderno. Per ulteriori informazioni, vedere www.nvidia.it.

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.

###

© 2011 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, CUDA, and Tesla are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability, and specifications are subject to change without notice.



 
 
 
 
FacebookTwitterGoogle+LinkedInPinterest