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
- PeaKO: finding transcription factor binding motifs using knockout controls
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
- 2019-12-18: Coby was awarded the Alfred B. Lehman Graduate Scholarship from the Department of Computer Science, University of Toronto.
- 2019-12-16: "Using computers to understand cancer with Dr. Michael Hoffman": Michael is featured in the Behind the Breakthrough, a podcast about the people behind the world-leading research at UHN.
- 2019-12-04: Michael is an invited speaker at the University of Wisconsin-Madison in the Genomics Seminar Series.
- 2019-11-29: Michael is an invited speaker at the McGill Human Genetics Student's Society 2020 Annual Conference.
- 2019-11-14: Michael is a co-author on "A unified encyclopedia of human functional DNA elements through fully automated annotation of 164 human cell types".
- 2019-09-18: Danielle successfully defends her Master's thesis.
- News archive
Contact
- Twitter: @michaelhoffman
- LinkedIn: michaelmhoffman