Hoffman research group
- Michael M. Hoffman
- Scientist (principal investigator)
- Research
- Princess Margaret Cancer Centre
- University Health Network
- Assistant Professor (status-only)
- Computational Biology Group
- Department of Computer Science
- University of Toronto
We develop machine learning techniques to better understand chromatin biology. These models and algorithms transform high-dimensional functional genomics data into interpretable patterns and lead to new biological insight.
Publications
Software
- Segway: semi-automated genomic annotation
- Segtools: segmentation analysis and graphics
- Genomedata: efficient storage and retrieval
Databases
- DNAmod: the DNA modification database
Join the lab
People
- Michael Hoffman
- Davide Chicco
- Eric Roberts
- Coby Viner
- Mehran Karimzadeh
- Jai Sood
- Mickael Mendez
- Rachel Chan
- Danielle Denisko
- Francis Nguyen
- Chang Cao
- Julie Relatado
News
- 2017-09-07: Vallijah Subasri joins the lab as a rotation student.
- 2017-07-14: Eric releases Segway 2.0.1.
- 2017-06-08: Rachel, Eric, and Michael publish a pre-print titled "Segway 2.0: Gaussian mixture models and minibatch training" in bioRxiv Bioinformatics.
- 2017-06-08: Eric releases Segway 2.0.
- 2017-05-26: Eric releases Segway 1.4.4.
- 2017-05-17: Michael presents a talk entitled "Novel inferences from Hi-C data with protein-coding gene data" at the Great Lakes Bioinformatics Conference (GLBIO) 2017, at University of Illinois at Chicago, Chicago, USA.
- News archive
Contact
- Twitter: @michaelhoffman
- LinkedIn: michaelmhoffman