October 18, 2017
Orlando, Florida (October 17, 2017) – The Global Alliance for Genomics and Health (GA4GH) has struck formal collaborations with 15 international genomic data initiatives as 2017 Driver Projects, including Genomics England, Australian Genomics and the U.S. All of Us Research Program. The announcement, made at the GA4GH 5th Plenary Meeting, comes as part of the launch of GA4GH Connect: A 5-year Strategic Plan. GA4GH Connect aims to drive uptake of standards and frameworks for genomic data sharing within the research and healthcare communities in order to enable responsible sharing of clinical-grade genomic data by 2022.
October 17, 2017
The Global Alliance for Genomics and Health (GA4GH) has launched a new five-year strategic plan to develop international standards that will enable the responsible and secure sharing of genomic data for both scientific and clinical purposes. The plan, known as GA4GH Connect, was launched at the organization’s 5th Plenary Meeting in Orlando, Florida.
February 9, 2017
The ability to sequence and study the human genome and the genomes of different cancer types has allowed scientists to increase our understanding of the biology of these diseases. In turn this has helped to create new preventative strategies, diagnostic and prognostic tools as well as better treatments. But what if there was a way to make this information even more useful? An international group is working to establish a project that will do just that.
December 1, 2016
The base components of DNA – adenine, thymine, cytosine and guanine (commonly referred to as ATCG) are so fundamental to the study of genetics that they are probably familiar to anyone who has taken a high school biology class. Now, one team of researchers has expanded the ‘DNA alphabet’ to help aid in efforts to learn how cancers develop.
November 18, 2016
OICR was part of a group of organizations to achieve history when they helped reach an important milestone in Canadian computing. As part of the ORION network, OICR participated in an exercise to perform the fastest, long-distance big data transfer between academic institutions in Canada.
September 15, 2016
On September 13 the Government of Canada, through Genome Canada, made a $4 million investment in Canadian big data research to help improve real world challenges such as infectious disease outbreaks, managing food crops and combating cancer.
Of the 16 projects funded across Canada, three are based at OICR. Led by OICR Principal Investigators Drs. Paul Boutros, Vincent Ferretti, Jared Simpson and Lincoln Stein (Stein is also OICR’s Interim Scientific Director and leader of the Institute’s Informatics and Biocomputing Program), the projects are developing ways to make genomics and health data more manageable, securely accessible and easily understood. Together these projects will help to facilitate cancer research and assist in the adoption of more precision medicine. As well, they have applications in other fields of genomics research beyond cancer, such as agriculture and energy.
July 14, 2016
An open challenge that merges the efforts of the International Cancer Genome Consortium, The Cancer Genome Atlas, and the NCI Cloud Pilots with Sage Bionetworks and the open science DREAM Challenge community
July 14, 2016
Researchers have been given a powerful new tool to search for the mutations behind the development of cancer, leading to a better understanding of the disease, and ultimately, better care for patients. On June 6, U.S. Vice President Joseph Biden announced the launch of the Genomic Data Commons (GDC), an ambitious new project that is making a staggering amount of data available to scientists for analysis while also allowing researchers to share their own data with the wider research community.
May 2, 2016
On March 31, Intel Corporation and the Knight Cancer Institute at Oregon Health and Sciences University announced two new leading cancer centres have joined the Collaborative Cancer Cloud (CCC): Dana Farber Cancer Institute and OICR.
The CCC is a distributed precision medicine analytics platform that allows institutions to securely share and analyze large amounts of data while also preserving patient privacy and security. The CCC will make it easier, faster and more affordable to determine how genes interact to cause disease in individual patients.
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