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.
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.
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.
In this special guest feature, Tom Wilkie from Scientific Computing World looks at some issues of life and death that will be discussed at the upcoming ISC Cloud and Big Data conference in Frankfurt.
Today the ISC Cloud & Big Data conference announced that Professor Peter V. Coveney from University College London will be their keynote speaker. Coveney will discuss the current state-of-the-art in the development of personalized medicine, at the event, which takes place Sept. 28-30 in Frankfurt, Germany.