Solving endocrine disorders without borders

“Diseases don’t know boundaries or country codes, we have to build systems that allow researchers to collaborate internationally,” says Professor Richard Sinnott. With that goal in mind, he established the endocrine genomics virtual laboratory - endoVL, which allows researchers to draw on large enough cohorts to conduct studies with real statistical power.

Helping clinicians unlock the power of genetic data

A full set of one person’s DNA data requires a stack of 50 DVDs while a large study with 1,000 patients can be hundreds of terabytes of data. This makes it impractical to transfer genomic data using traditional methods, challenging to store it, and virtually impossible to use it without advanced research and education networks like CANARIE, sophisticated software tools, and high performance computing facilities.

From numbers and sequences to personalised cancer treatment

New technologies for deep sequencing of DNA and RNA are paving the way for unprecedented opportunities in genomic medicine. Norwegian medical scientists enlist the Abel supercomputer in Oslo to transform numbers and genome sequences into improved and more personalized cancer treatment.