February 26, 2019
Find out what a Technical Business Analyst does and why this job is so important in helping researchers and software engineers work together.
February 21, 2019
Expert group develops comprehensive guide for the interpretation and visualization of gene lists, replacing outdated, decade-old protocols
The importance of understanding biological pathways – or how our genes work together – is becoming increasingly evident, but pathway analysis remains a major challenge for many basic and biomedical researchers. Current computational tools can help simplify this analysis, but there is no established guide or standard for using these tools in practice.
To fill this gap, a team of experts from OICR and the Bader Lab at the University of Toronto recently published a comprehensive, step-by-step guide to pathway enrichment analysis that brings together their highly-recommended tools into one protocol. The complete protocol, which is now published in Nature Protocols, can be performed in less than five hours and can be used by researchers with no prior training in bioinformatics or computational biology.
“These days, almost every omics study needs to include pathway enrichment analysis, but it has been over a decade since a comprehensive protocol for these analyses has been published,” says Dr. Jüri Reimand, Principal Investigator at OICR and co-lead author of the protocol. “Our new methods are designed to guide researchers through their analyses and serve as a practical resource for their studies.”
Each step of the protocol is supported with detailed instructions and valuable troubleshooting information, which were designed in large part by Ruth Isserlin, co-lead author and Senior Bioinformatics Analyst in the Bader Lab.
Recently, the methods were used to identify a therapeutic target for ependymoma, a prevalent type of childhood brain cancer that is notoriously difficult to treat. The pathway analysis, as described in Nature, led to a better understanding of why most ependymoma treatments are not effective and revealed a new treatment option that could stop the progression of the disease.
“Future cancer research discoveries rely on our understanding of biological pathways,” says Reimand. “This protocol provides a resource from which we can build our understanding and explore previously uncharted relationships between our genes.”
January 22, 2019
OICR’s Dr. Ann Meyer receives Community Engagement Fellowship from AAAS to advance Canada’s bioinformatics community
On January 3, 23 community engagement professionals – including OICR’s Dr. Ann Meyer – were named AAAS Community Engagement fellows for 2019.
The Community Engagement Fellowship Program (CEFP) brings together professionals from a diverse range of scientific communities to share insights and develop strategies to strengthen their respective communities. CEFP aims to improve collaboration and community building in science – and that’s exactly what Meyer will continue to do in Canada’s bioinformatics space.
“Over the last few years, we’ve been working on filling the educational needs of Canada’s bioinformatics community,” says Meyer, Knowledge and Research Exchange Manager at OICR and Manager of Bioinformatics Education at bioinformatics.ca. “This fellowship will help us expand our efforts to foster and strengthen ongoing collaboration amongst research groups in Canada with similar interests.”
Meyer is the only individual from a Canadian institute who has been selected to participate in the CEFP since its inception. The 2019 cohort includes community leaders from the Chan Zuckerberg Science Initiative, the National Geographic Society and the Data Commons Pilot Phase Consortium.
“Alongside these talented community managers, I hope to bring back new techniques to better engage the bioinformatics community,” says Meyer. “Further developing our community will facilitate ongoing learning collaborations and strengthen this research network across our geographically disperse nation.”
January 14, 2019
Landmark pan-cancer study analyzes mutation signatures of low oxygen in more than 8,000 tumours
TORONTO (January 14, 2019) – Unlike healthy tissues, tumours thrive in low-oxygen environments, often acquiring the ability to resist treatment and spread to other sites in the body. Despite being a well-known cause of therapy resistance and metastasis, the impact of low oxygen, known as hypoxia, on tumour cells is poorly understood. As reported today in Nature Genetics, researchers have discovered molecular hallmarks of hypoxia in the first-ever pan-cancer analysis of low oxygen in human tumours, with a special focus on prostate cancer.
The study investigated more than 8,000 human tumours across 19 different cancer types, including prostate tumours from the Canadian Prostate Cancer Genome Network (CPC-GENE). The authors discovered common markers of hypoxia that could help predict cancer aggressiveness and inform treatment decisions.Continue reading – Researchers discover common markers of tumour hypoxia across 19 cancer types
November 8, 2018
Lawrence Heisler, Project Manager in the Genome Sequence Informatics team at OICR, talks about how new technologies are making genetic sequencing faster and cheaper. But turning data into discoveries requires the right behind-the-scenes support. That’s where Heisler’s team comes in.
October 2, 2018
OICR researchers uncover sex-linked genetic differences that may be able to predict cancer severity and response to therapy
Cancer differs in males and females but the origins and mechanisms of these sex differences remain unresolved. A better understanding of sex-linked differences in cancer could lead to more accurate tests and treatments that are personalized for patients based on their sex.
September 11, 2018
OICR’s Genome Informatics team plays key role in development of the Gabriella Miller Kids First Data Resource Portal
Toronto (September 11, 2018) – Today, the Gabriella Miller Kids First Data Resource Center (DRC) at the Children’s Hospital of Philadelphia launched the Kids First Data Resource Portal, which will advance personalized medicine for the detection, therapy, and management of childhood cancer and structural birth defects. As the Kids First DRC’s chief outward-facing tool, the Kids First Data Resource Portal serves the needs of a diverse group of patients, researchers, and clinicians partnering to create the world’s largest database of pediatric genomic data, and provides the necessary tools and computational resources for their analysis and interpretation.
September 6, 2018
OICR welcomes Dr. Christina Yung as Director of Genome Informatics. Yung is returning to OICR from the University of Chicago where she led and managed the National Cancer Institute’s Genomic Data Commons (GDC) – a unified data system that promotes the sharing of genomic and clinical data between researchers.
September 4, 2018
Meet Dike Aduluso-Nwaobasi, Sarah Donald and Benson Wan. Find out how summer co-op positions affected their career and educational journeys.
August 21, 2018
Formalizing his longstanding relationship with OICR, Dr. Marc Fiume joins the Institute as an Associate to turn big data into a cure
“We know there are valuable – potentially life-saving – genomics and clinical data that are locked away in the sever rooms in hospital basements,” says Dr. Marc Fiume, CEO of DNAstack, Adjunct Professor at the University of Toronto, and OICR’s newest Associate. “We’re working to make these data more findable, accessible and useful to help researchers find cures for diseases faster than ever before.”
August 7, 2018
Big data are ushering in a new era of individualized cancer care and prevention, but not without conceptual and practical challenges. Canadian advances in genomics will be made by or limited by bioinformatics analytical capacity as well as the ability to store and analyze data in new and more sophisticated ways.
To help realize the potential of genomics research in cancer, the Canadian Data Integration Centre (CDIC) platform, led by OICR, offers third generation bioinformatics and genomics tools to support both functional and clinical genomics research. CDIC is the largest academic cancer informatics program in the country – offering customizable, client-oriented access services for data challenges across diverse research areas.
August 3, 2018
OICR researchers have contributed to major open source projects available to the global research community in order to accelerate cancer research. Click the link below to read about more of OICR’s open source software projects.