Sano Genetics Deploys Lifebit CloudOS for Direct-to-Consumer Genetics

Today Sano Genetics announced the company is using Lifebit CloudOS to power their free DNA sequencing platform, achieving 35% increase in speed of imputation analyses. Imputation is a statistical technique that fills in the gaps between sites measured by genotyping arrays, and is very useful for genetic genealogy and other forms of ‘citizen science’. Any participant who uploads their DTC genetic data to the Sano platform can download their imputed data within about 15 minutes.

How Data and Computing Can Change Medicine in the Exascale Era

In this video, Gina Tourassi from ORNL explains how data and computing is changing medicine. “Exascale computing infrastructure such as Frontier will be the paradigm shift because we can bring all of the data together and analyze it in a time efficient way,” said Tourassi.

Big Compute Podcast: HPC and Genomics to Revolutionize Medicine

In this Big Compute Podcast episode, Gabriel Broner hosts Mark Borodkin, COO of Bionano Genomics, to discuss how genomics and HPC enable doctors and researchers to diagnose complex diseases and prescribe unique personalized treatments based on individual variations of the DNA. “We decided to abstract HPC in the cloud through Rescale and our software. All our customers need to know is that the solution offers the security and performance they need, and they don’t need to learn the new jargon of cloud.”

Personalized Healthcare with High Performance Computing in the Cloud

Wolfgang Gentzsch from the UberCloud gave this talk at the HPC User Forum. “The concept of personalized medicine has its roots deep in genomic research. Indeed, the successful completion of the Human Genome Project in 2003 marked a critical milestone for the field. That project took $3 billion over 13 years. Today, thanks to technological progress, a similar sequencing task would take only about $4,000 and a few weeks. Such computational power is possible thanks to cloud technology, which eliminates the barriers to high-performance computing by removing software and hardware constraints.”

BSC fosters EUCANCan Project to share and reuse cancer genomic data worldwide

Today the Barcelona Supercomputing Center announced it will foster the EUCANCan project to allow both research and cancer treatments to be shared and re-used by the European and Canadian scientific community. As demonstrated by earlier work, research that merges and reanalyzes  biomedical data from different studies significantly increases the chances of new discoveries.

Video: Moving Towards Personalized Medicine at The UberCloud

“In the last six years UberCloud has performed 200 cloud experiments with engineers and scientists and their complex applications. In a series of challenging high performance computing applications in the Life Sciences, UberCloud’s HPC Containers have been packaged recently with several scientific workflows and application data to simulate complex phenomena in human’s heart and brain. As the core software for these HPC Cloud experiments we are using the (containerized) Abaqus solver running in a fully automated multi-node HPE environment in the Advania HPC Cloud.”

Pursuit of Sustainable Healthcare through Personalized Medicine with HPC

Graham Anthony from BioVista gave this talk at the HPC User Forum. “We apply our systematic discovery platform to develop our pipeline of repositioned drug candidates in neurodegenerative diseases, epilepsy, oncology and orphan diseases. We use this insight to find new uses for existing drugs or drug combinations, assess their risk profile and advance them to PoC and Clinical Phase IIa/b sooner, cheaper and with a higher probability of success than has been possible to date.”

SGI UV as a Converged Compute and Data Management Platform

In life sciences, perhaps more than any other HPC discipline, simplicity is key. The SGI solution meets this requirement by delivering a single system that scales to huge capabilities by unifying compute, memory, and storage. Researchers and scientists in personalized medicine (and most life sciences) are typically not computer science experts and want a simple development and usage model that enables them to focus on their research and projects.

Enabling Personalized Medicine through Genomic Workflow Acceleration

If the keys to health, longevity, and a better overall quality of life are encoded in our individual genetic make-up then few advances in the history of medicine can match the significance and potential impact of the Human Genome Project. Instigated in 1985 and since that time, the race has been centered on dramatically improving the breadth and depth of genomic understanding as well as reducing the costs involved in sequencing, storing, and processing an individual’s genomic information.

Personalized Medicine steps forward with Bioinformatics Method from BSC

In what is being cited as a step towards personalized medicine, the Barcelona Supercomputing Center (BSC) and IrsiCaixa have developed a bioinformatics method to predict the effects of mutation on the resistance of the virus to HIV drugs. An article published in the Journal of Chemical Information and Modeling explains how this method has effectively predicted the resistance of the virus with genetic mutations in the HIV-1 protease, a protein which is essential for the replication of the virus, to the drugs amprenavir and darunavir. The method could easily be applied to other drugs and proteins.