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Optalysys Optical Processing Achieves 90 percent energy savings for DNA Sequence Alignment

The GENESYS project applied Optalysys’s unique optical processing technology to perform large-scale DNA sequence alignment. “The collaboration with EI has been a great success,” said Dr. Nick New, founder and CEO of Optalysys. “We have demonstrated the technology at several international conferences including Advances in Genome Biology and Technology, Plant and Animal Genome Conference and Genome 10K/Genome Science, to an overwhelmingly enthusiastic response. We are looking forward to continuing our strong relationship with EI through the beta program and beyond.”

Supercomputing New Risk Variants for T-2 Diabetes

Reanalysis of public genetic data using innovative computational methods has allowed the identification of new genetic markers associated with an increased risk to develop Type 2 Diabetes (T2D). “The study, led by Barcelona Supercomputing Center and published today in Nature Communications, represents a new way of exploiting preexisting genetic data to obtain new and relevant discoveries for genetics and biomedicine, highlighting the importance of data sharing initiatives and policies in science.”

Survey shows how AI Could Revolutionize Life Sciences

Some 44 per cent of life science professionals are using or experimenting with AI and deep learning, while 94 per cent expect an increase in use of machine learning within two years. These are findings from a survey carried out by the Pistoia Alliance, a global, not for profit alliance that works to lower barriers to innovation in life sciences R&D. “Our survey data shows that while life science professionals are already exploring how AI, ML and NLP can be used – there are clear gaps in the knowledge, data, and skills, which will enable more pharma and biotech companies to achieve tangible results from AI.”

Supercomputing Virus Structures at Nanoscale with XFEL

A team at Berkeley Lab are using innovative computational methods to enable new X-ray science. “The creation of XFEL facilities, including the Linac Coherent Light Source (LCLS) and the European X-FEL, have created opportunities for conducting new experiments which can overcome the limitations of traditional crystallography.”

Video: The State of Bioinformatics in HPC

“In the last few years DNA sequencing technologies have become extremely cheap enabling us to quickly generate terabytes of data for a few thousand dollars. Analysis of this data has become the new bottleneck. Novel compute-intensive streaming approaches that leverage this data without the time-costly step of genome assembly and how UWA’s Edwards group leveraged these approaches to find new breeding targets in crop species are presented.”

Video: Technical Challenges in Complex Bioinformatics Environments

In this video from the 2017 DDN User Group meeting at ISC, Dean Flanders, Head of Informatics/CIO at Friedrich Miescher Institute presents: Technical Challenges in Complex Bioinformatics Environments. “Dean Flanders has been Head of Informatics at the Friedrich Miescher Institute since 2000. He has been involved in many activities to enable researchers by improving IT at the national and international levels.”

Earlham Institute Moves HPC Workloads to Iceland

In this video, Dr Tim Stitt from the Earlham Institute describes why moving their HPC workload to Iceland made economic sense. Through the Verne Global datacenter, the Earlham Institute will have access to one of the world’s most reliable power grids producing 100% geothermal and hydro-electric renewable energy. As EI’s HPC analysis requirements continue to grow, Verne Global will enable the institute to save up to 70% in energy costs (based on 14p to 4p KWH rate and with no additional power for cooling, significantly benefiting the organization in their advanced genomics and bioinformatics research of living systems.

Data Storage Best Practices for Life Science Workflows

“Unchecked data growth and data sprawl are having a profound impact on life science workflows. As data volumes continue to grow, researchers and IT leaders face increasingly difficult decisions about how to manage this data yet keep the storage budget in check. Learn how these challenges can be overcome through active data management and leveraging cloud technology. The concepts will be applied to an example architecture that supports both genomic and bioimaging workflows.”

Panasas & Western Digital to Power Life Science Research with iRODS

“Our solutions ultimately make data readily available for users, applications and analytics, helping to facilitate faster results and better decisions,” said Gary Lyng, senior director of marketing, Data Center Systems at Western Digital. “We are excited to be working with Panasas as the volume, velocity, variety and value of data generated by modern lab equipment along with varying application and workflow requirements make implementing the right solution all the more challenging – and we have the right solution.”

Searching and Researching: DDN Solutions for Life Sciences

Bio and life sciences is the third-largest commercial vertical market segment for the use of HPC, including “biomedical research and development organizations in such areas as: pharmaceuticals, medical research, agriculture, environmental engineering, etc.”1 A great deal of additional usage of HPC for life sciences occurs at public-sector (academic and government) research labs, or even in other industries, such as an oil company pursuing research in bio fuels. To learn more download this white paper.