Genomics Research

SURF's Research Cloud makes cutting-edge collaborative cancer research faster, more cost-effective and more impactful.

By crunching large data sets, researchers are able to identify a specific genetic cause in one of seven young cancer patients. This allows for prescribing more accurate doses of medicine, avoiding unnecessary side effects

The European “1+ Million Genomes” initiative aims at linking genomic databases across borders. But there is a challenge: You must do it do it without compromising data security.

Storing and analysing genomic data at the scale of a million people and connecting this data with other resources – such as data on lifestyle and disease history – will transform our understanding of how diseases can be cured through individualised treatments.

Scientists in Kenya and Australia collaborate on a research project to diagnose viruses that infect cassava, and sequencing whole cassava virus genomes in order to help eradicate infection.

The research field of proteomics contributes to important new medical insights, producing vast amounts of data along the way.  To convert these massive amounts of proteomics data into knowledge requires dedicated computing and storage capacity.

Without a direct connection across the Danish NREN, the national hospital Rigshospitalet would not have been able to use its new gene sequencing equipment.

When the Sheba Cancer Research Center in Tel Aviv wanted to transfer 300 terabytes of data from the US National Cancer Institute Center for Cancer Genomics in Chicago to local storage to advance their research, they thought the process would be relatively straightforward. It wasn't, and so they sought advice from Israel's NREN to find the solution.

Genome researchers in the Netherlands work closely together in the field of omics data (such as genomic and metabolomic data). To ensure the data can be shared easily and securely, E-LAN network technology is being piloted in a shared network environment.

ARES (Advanced networking for the EU genomic Research) is implementing novel genome content distribution solutions to make large data sets accessible to healthcare practitioners for better patient care. Robust and bottleneck-free data networks are key to the success of this vital undertaking.

Eske Willerslev, one of the world’s leading experts in ancient DNA, DNA degradation, and evolutionary biology, is using powerful DNA sequencing technology to reveal fundamentally new insights, reconstructing the past 50.000 years of human history.

The University of Amsterdam, Amsterdam University of Applied Sciences and SURF are collaborating on a campus network infrastructure optimized for sending research data. The aim is to create a blueprint for an architecture to help researchers collaborate on data-intensive research. The first use case is focusing on crop genome data.