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
- Umap and Bismap: tools for quantifying mappability of the genome and methylome
- BEHST: biological enrichment of hidden sequence targets
- Virchip: predicting transcription factor binding by learning from the transcriptome
Databases
- DNAmod: the DNA modification database
Join the lab
People
Meet the team- Michael Hoffman
- Eric Roberts
- Coby Viner
- Mehran Karimzadeh
- Jai Sood
- Mickael Mendez
- Rachel Chan
- Danielle Denisko
- Francis Nguyen
- Samantha Wilson
- Matthew McNeil
- Yi Nian (Jeffrey) Niu
- Siddharth Reed
- Yushan (Ida) Liu
- Michael Wrana
- Natalia Mukhina
News
- 2019-07-02: Mehran was awarded an Ontario Graduate Scholarship.
- 2019-06-26: Michael is an invited program committee member for Machine Learning in Computational Biology (MLCB2019) in Vancouver, British Columbia, Canada.
- 2019-06-26: Eric releases Segway 2.0.5.
- 2019-06-14: Sam was awarded a Molly Towell Fellowship from the Molly Towell Perinatal Research Foundation.
- 2019-06-14: Rachel presents a poster on "Semi-supervised learning in Segway" at the ICML 2019 Workshop on Computational Biology in Long Beach, California, USA.
- 2019-05-31: Segtools 1.2.1 is now available on Bioconda.
- News archive
Contact
- Twitter: @michaelhoffman
- LinkedIn: michaelmhoffman