The software, developed by researchers at the Ontario Institute for Cancer Research, uses machine learning methods to classify mutations as germline or somatic.
The initiatives are being funded with C$24 million over two years and will focus on acute leukemia, immuno-oncology, and brain, ovarian, and pancreatic cancer.
Two research groups reported on statistical methods for uncovering methylated cytosine and/or adenine bases using electrical current cues from Oxford Nanopore sequencers.
An analysis of copy number changes and genomic rearrangements in more than 100 tumors suggests chromothripsis may contribute to pancreatic cancer evolution.
NEW YORK (GenomeWeb) – In Nature Genetics, researchers from the Memorial Sloan Kettering Cancer Center, the Ontario Institute for Cancer Research, the University of Toronto, and elsewhere described
