Hoffman research group
- Michael M. Hoffman
- Senior Scientist (principal investigator)
- Research
- Princess Margaret Cancer Centre
- University Health Network
- Associate 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
- Mickael Mendez
- Samantha Wilson
- Linh Huynh
- Leo Li
- Annie Lu
- Esther Yoo
- Natalia Mukhina
News
- 2020-11-23: Michael is an invited speaker to present at SAGE/Biostatistics Seminar at the University of Calgary, February 12, 2021.
- 2020-11-05: Michael is an invited speaker to present at UNC Chapel Hill Seminar series, January 29, 2021.
- 2020-10-20: Michael is a member of the Tri-Agency Grants Management Solution (TGMS) External Advisory Board.
- 2020-10-15: Michael is a co-author on "Transparency and reproducibility in artificial intelligence" in Nature.
- 2020-10-09: Lihn was awarded a Princess Margaret Postdoctoral Fellowship.
- 2020-09-03: Revised version of "Viral integration transforms chromatin to drive oncogenesis" is available on bioRxiv.
- News archive
Contact
- Twitter: @michaelhoffman
- LinkedIn: michaelmhoffman