Japanese researchers transferred a courtship behavior between fruit fly species by rewiring neural circuits through a single gene, revealing genetic roots of behavior.
High-speed data transfers enabled by SingAREN are helping cancer genomics research in Singapore move data quickly between hospitals and supercomputing systems.
A trial in Japan has demonstrated the world’s first system able to store genome data from many individuals in multiple locations so that they can be used for medical treatment and healthcare.
CSC has recently developed new services for sensitive data management for research so that data from more patients can be shared and analysed to fast-track discoveries.
While a variety of genetic factors are known to play major roles in relation to cancer, the specific pathways still largely remain to be discovered. This is the main scope of computational biology.
High performance computing in Denmark plays a crucial role in finding solutions to the challenges of the future, such as eliminating poverty and hunger, protecting our climate, reducing inequalities, promoting education and health, and sustainable economic growth
COVID-19 has been added to the list of health threats addressed in the 1+Million Genomes Initiative (B1MG), a joint effort by 23 European countries.
A new genomics resource has been established to help understand and protect Australia’s unique reptiles and amphibians.
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 international iPSYCH project identifies genes related to specific mental illnesses to inspire development of better medicine and earlier diagnosis.
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.
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