Natural Sciences and Engineering Research Council of Canada Funds Big Data Software Tools with $7.3M in Development Funding
News May 01, 2014
Current advanced technologies for genetic analysis have created almost unimaginable amounts of data, measured in petabytes – a million billion bytes. Genomic researchers are keen to analyze these data and identify genetic clues that could point to new ways to prevent or cure cancer. Such an effort, however, requires thousands of high-performance computers working in tandem, along with the yet-unavailable software tools that can coordinate such a daunting and complex exercise.
The Canadian federal government says it is providing $7.3 million in funding for a collaboration – both in Canada and internationally – that will develop tools to effectively manipulate vast amounts of data to help find cures for cancer.
Funded through the Natural Sciences and Engineering Research Council of Canada (NSERC)’s Discovery Frontiers, the project will develop powerful new computing tools, so that researchers can analyze genetic data from thousands of cancers to learn more about how cancers develop, and which treatments work best. At the heart of the project will be a new cloud computing facility, the Cancer Genome Collaboratory, capable of processing genetic profiles collected by the International Cancer Genome Consortium (ICGC) from cancers in some 25,000 patients around the world. The powerful new data-mining tools are expected to be available in 2015 for beta testing by selected cancer genomics and privacy researchers. The facility is planned to be opened to the broader research community in 2016. Researchers will be able to formulate questions about cancer risk, tumour growth, and drug treatments, and extract an analysis against the data.
The collaboration initiated by NSERC also includes federal granting organizations Genome Canada, the Canada Foundation for Innovation (CFI), and the Canadian Institutes of Health Research (CIHR). The partners are providing a total of $7.3 million to the project.
The University of Chicago is also providing key computing resources for the project. In addition, a large initial donation of genomic data will come from the International Cancer Genome Consortium, which is based in Toronto and brings together researchers from some 16 jurisdictions around the world. The university is providing $500,000 to the project.
The International Cancer Genome Consortium is the largest worldwide coordinated effort to produce a catalogue of genetic structure of cancer organisms. Its 10-year goal is to characterize the genetic materials from tumours in 500 patients for each of the major cancer types.
The collaborators say the project will set up a unique cloud computing facility which will enable research on the world’s largest and most comprehensive cancer genome dataset. Using the facilities of the Cancer Genome Collaboratory, researchers will be able run complex data mining and analysis operations across 10 to 15 petabytes of cancer genome sequences and their associated donor clinical information.
Using advanced metadata tagging, provenance tracking, and workflow management software, researchers will be able to execute complex analytic pipelines, create reproducible traces of each computational step, and share methods and results. This represents a fundamental reversal in the current practice of genome analysis. Rather than requiring researchers to spend weeks downloading hundreds of terabytes of data from a central repository before computations can begin, researchers will upload their analytic software into the Collaboratory cloud, run it, and download the compiled results in a secure fashion.
Since the genetic data used in the Collaboratory is so detailed as to permit personal identification, privacy issues are central to the project’s design. A special team of computer scientists will investigate ways to guard the privacy of everyone whose data are analyzed. These will include techniques to make genetic profiles anonymous without the loss of details that would render the profiles overly vague, and techniques to structure queries from health researchers so they can be processed via secure data storage sites.
“Canada and many other nations around the world have already invested tremendous resources in sequencing of thousands of cancer genomes, but until now there has been no viable long-term plan for storing the raw sequencing data in a form that can be easily accessed by the research community,” says Lincoln Stein, director, informatics and bio-computing program, Ontario Institute for Cancer Research, and professor, Department of Molecular Genetics, University of Toronto. “The Cancer Genome Collaboratory will open this incredibly important data set to researchers from laboratories large and small, enabling them to achieve new insights into the causes of cancer and to develop innovative new ways to diagnose and manage the disease.”
It's easy to take a lot for granted. Scientists do this when they study stress, the force per unit area on an object. Scientists handle stress mathematically by assuming it to have symmetry, but new supercomputer simulations show that at the atomic level, material stress doesn't behave symmetrically. The findings could help scientists design new materials such as glass or metal that doesn't ice up.READ MORE
In late 2017 DeepMind introduced AlphaZero, a single system that taught itself from scratch how to master the games of chess, shogi (Japanese chess), and Go, beating a world-champion program in each case. Today, they announce the evalutation of AlphaZero, published in the journal Science, that confirms and updates those preliminary results.