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
- 2019-05-30: Mehran is an invited speaker at the James Lepock Memorial (JLM) Student Research Symposium.
- 2019-05-15: Eric releases Segway 2.0.4.
- 2019-05-13: Michael is an invited speaker at the 14th Guelph Biomathematics and Biostatistics Symposium: Artificial Intelligence and Machine Learning in Biology at the University of Guelph.
- 2019-05-13: Yushan (Ida) Liu and Michael Wrana join the lab as summer students.
- 2019-05-06: Yi Nian (Jeffrey) Niu, Siddharth Reed and Matthew McNeil join the lab as summer students.
- 2019-05-06: Coby presents a poster on "Comparing chromatin accessibility profiles with maximal cliques in temporal graphs" at RECOMB at the George Washington University in Washington, D.C., USA.
- News archive
Contact
- Twitter: @michaelhoffman
- LinkedIn: michaelmhoffman