March 29, 2017
Polymerase chain reactions (PCR) are one of the most common tools used in molecular biology labs worldwide. This technique allows researchers to amplify, or increase, the amount of DNA in a sample so that they have more to work with. To keep track of the original molecules from a sample, chemical ‘barcodes’ are added. While barcodes serve an important purpose they can lead to errors and interfere with results. To prevent these cross-reactions a small team of international researchers have devised an ingenious method to ‘hide’ the barcodes when needed, leading to increased sensitivity and more reliable results.
Continue reading – New approach improves sensitivity of DNA sequencing, producing more reliable results
March 16, 2017
Genetic tests are being used more commonly in the diagnosis of many types of cancer. However, there currently isn’t a highly accurate test that can identify men with aggressive forms of prostate cancer, making it more difficult to choose the most appropriate course of treatment.
March 9, 2017
New molecular barcode technology reduces error rate in genomic sequencing to 1 in 10,000
Toronto (March 9, 2017) – Researchers at the Ontario Institute for Cancer Research (OICR), together with international collaborators, have invented a technique to avoid a major problem with common laboratory techniques and improve the sensitivity of important cancer tests.
February 23, 2017
Digital Detection Tool Will Be Shared Freely Over the Web
Toronto, ON and Baltimore, MD (February 23, 2017) A research team from the United States and Canada has developed and successfully tested new computational software that determines whether a human DNA sample includes an epigenetic add-on linked to cancer and other adverse health conditions.
February 13, 2017
Keeping track of samples and organizing their associated data is a crucial part of the research process. Like many labs around the world, those at OICR were using a commercially available Laboratory Information Management System (LIMS) to perform this task. However, the researchers using it found that this tool placed far too many constraints on their work. So what did they do? They built their own in partnership with the Earlham Institute (EI) in the U.K. This collaboration has resulted in powerful, flexible and open source software called MISO (Managing Information for Sequencing Operations).
January 18, 2017
The Toronto Bioinformatics User Group (TorBUG) will hold its first session of the New Year on January 25. Anyone with an interest in bioinformatics is encouraged to attend and hear from Katie Pollard, Director and Senior Investigator at Gladstone Institutes and Davide Chicco from the University of Toronto.
January 25, 2017
4-4:15 p.m. Trainee Speaker: Davide Chicco, University of Toronto: “Siamese neural network for prediction of long-range interactions in chromatin”
4:15-5 p.m. Guest Speaker: Katie Pollard, Gladstone Institutes: “Most transcription factors recognize DNA shape”
5-7 p.m. Reception
Location: 160 College St., Toronto, Red Room, Donnelly Centre for Cellular and Biomolecular Research, University of Toronto
A calendar of upcoming TorBUG events can be found at: https://www.google.com/calendar/embed email@example.com
Missed a session? Videos of the latest TorBUG talks are below.
January 13, 2017
What does a beaver’s genome look like? And how can understanding the beaver genome help us to improve human health? A group of Canadian researchers led by Drs. Stephen Scherer and Si Lok at The Centre for Applied Genomics and The Hospital for Sick Children today published the sequenced genome of the Canadian beaver in order to answer these questions and others (and just in time for Canada’s 150th anniversary, no less).
Dr. Jared Simpson led a team at OICR who provided their bioinformatics expertise on the project. We spoke to Simpson about his team’s role in the study and how their findings could contribute to a better understanding of cancer.
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 25, 2016
The Toronto Bioinformatics User Group (TorBUG) continues on Wednesday, November 30 with another session of leading-edge bioinformatics topics and speakers. TorBUG sessions encourage learning, sharing and networking with colleagues in bioinformatics. All those who are interested are welcome to attend.
October 12, 2016
Prostate cancer is a complex disease. In a clinical setting it can be hard for doctors to accurately predict outcomes for prostate cancer patients, especially for those deemed to be at an intermediate risk of recurrence. With intermediate risk cancers, unlike those that are high or low risk, it is unclear how the cancer will develop. This makes it difficult to choose exactly the right therapy and avoid unnecessary treatments and their associated side effects.
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.