October 15, 2008
Last week, San-Francisco-based Complete Genomics came out of stealth mode to become the first provider of large-scale human genome sequencing services. They claim to offer a third-generation genome sequencing technology that generates genomic data at a higher throughput than existing approaches and at lower cost.
What makes Complete Genomics different is that they are offering human genome sequencing as a service through their commercial-scale genome center. The technology and business model combine to enable large-scale human genomic population studies, thereby providing the basis for significant genomic analysis. By gathering and analyzing a large amount of genomic data, an individual's genetic profile data can be applied to disease prevention and management.
HPCwire recently asked company representatives to share some details about their work. Complete Genomics Chairman, President and CEO Dr. Clifford Reid and Vice President of Software Bruce Martin took the time to respond.

HPCwire: Can you describe the sequencing service and talk about the practical significance of its use in health care?
Dr. Clifford Reid: Complete Genomics is offering the industry's first large-scale human genome sequencing service for $5,000 per genome. We plan to sequence 1,000 complete human genomes in 2009 and 20,000 genomes in 2010. For the first time, companies and research institutions will be able to run large-scale complete human genome studies to understand the genetic basis of disease and drug response.
HPCwire: Can you provide a brief description of the technology pieces that make this sequencing service possible?
Reid: Complete Genomics has developed two breakthrough technologies that enable us to offer complete human genomes for $5,000. The first is a new method for creating extremely high density DNA arrays, which dramatically reduces the reagent and imaging cost of DNA sequencing. The second is a new ligation method of reading DNA, which dramatically reduces the reagent cost while maintaining the high accuracy of ligase-base DNA sequencing.
HPCwire: What is unique about the business model that allows you to do this?
Reid: By selling services rather than instruments, Complete Genomics is able to eliminate the burden of purchasing and operating complex and expensive DNA sequencing instruments, and eliminate the burden of building and operating a high-performance datacenter.
HPCwire: How big do you think the market is for your service?
Reid: Complete Genomics believes the market for large-scale complete human genome studies will be $3-5 billion in five years.
HPCwire: What would prevent competitors from copying your approach?
Reid: Complete Genomics owns or has licensed 110 patents and patent applications worldwide to protect our technology.
HPCwire: You quote a $5,000 price tag on the service for one genome in Q2 2009. What is the cost of a complete human genome sequence today?
Reid: Complete Genomics sequenced a complete human genome in July for $4,000 materials cost -- that does not include equipment, labor, or overhead costs. When we launch our commercial service in Q2 2009 we expect our materials cost to be under $1,000 per genome, and our $5,000 price will cover all of our costs.
HPCwire: Focusing on the computational aspect of the service: What specific types of compute and storage system or systems are being employed to analyze the genetic data?
Bruce Martin: Complete Genomics uses a high-performance computing cluster, built using commodity servers (currently with Intel CPUs), Linux and other open source platform software, and clustered NAS systems.
HPCwire: What software is being used to do this and what is its source -- proprietary in-house, commercial ISV, or open source?
Martin: Our system has an an open source platform with Linux, Sun Grid Engine and other management/operations tools. And we have proprietary applications for data analysis, base calling, alignment and assembly, which are all built in-house.
HPCwire: What percentage of the total expense of the infrastructure is represented by the computational infrastructure?
Martin: Computing is roughly 50 percent of the cost today. We expect that to decrease as a fraction of total cost over time.
HPCwire: Do you have HPC expertise in-house to help with the management of the compute resources and the data analysis? If so, could you briefly describe that expertise?
Martin: Yes, Complete Genomics has an experienced multi-disciplinary team, with world-class expertise in bioinformatics, in particular image processing, base calling, alignment, assembly and other areas of sequence analysis. We also have extensive knowledge of high-scale scientific computing, including monte carlo simulation, machine learning, and graph-based algorithms. Other proficiencies include large data set search and indexing, and datacenter operations and management.
HPCwire: Are you counting on projected increases in computational power to drive the growth strategy (1,000 genomes in 2009; 20,000 in 2010), and/or are you also intending to increase computational infrastructure? Or are there other pieces of technology or the business model that you intend to ramp up over the next couple of years?
Martin: Both -- Complete Genomics will deploy significantly more infrastructure, and we plan to do so in a modular manner, thereby taking advantage of improvements in basic computing technology, for example, larger/faster disk drives, and faster and lower-power CPUs.
Jun 18, 2013 |
The world's largest supercomputers, like Tianhe-2, are great at traditional, compute-intensive HPC workloads, such as simulating atomic decay or modeling tornados. But data-intensive applications--such as mining big data sets for connections--is a different sort of workload, and runs best on a different sort of computer.
Read more...
Jun 18, 2013 |
Researchers are finding innovative uses for Gordon, the 285 teraflop supercomputer housed at the San Diego Supercomputer Center (SDSC) that has a unique Flash-based storage system. Since going online, researchers have put the incredibly fast I/O to use on a wide variety of workloads, ranging from chemistry to political science.
Read more...
Jun 17, 2013 |
The advent of low-power mobile processors and cloud delivery models is changing the economics of computing. But just as an economy car is good at different things than a full size truck, an HPC workload still has certain computing demands that neither the fastest smartphone nor the most elastic cloud cluster can fulfill.
Read more...
Jun 14, 2013 |
For all the progress we've made in IT over the last 50 years, there's one area of life that has steadfastly eluded the grasp of computers: understanding human language. Now, researchers at the Texas Advanced Computing Center (TACC) are utilizing a Hadoop cluster on its Longhorn supercomputer to move the state of the art of language processing a little bit further.
Read more...
Jun 13, 2013 |
Titan, the Cray XK7 at the Oak Ridge National Lab that debuted last fall as the fastest supercomputer in the world with 17.59 petaflops of sustained computing power, will rely on its previous LINPACK test for the upcoming edition of the Top 500 list.
Read more...
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
Join HPCwire Editor Nicole Hemsoth and Dr. David Bader from Georgia Tech as they take center stage on opening night at Atlanta's first Big Data Kick Off Week, filmed in front of a live audience. Nicole and David look at the evolution of HPC, today's big data challenges, discuss real world solutions, and reveal their predictions. Exactly what does the future holds for HPC?
Join our webinar to learn how IT managers can migrate to a more resilient, flexible and scalable solution that grows with the data center. Mellanox VMS is future-proof, efficient and brings significant CAPEX and OPEX savings. The VMS is available today.