Hoffman research group

Michael M. Hoffman
Scientist (principal investigator)
Research
Princess Margaret Cancer Centre
University Health Network

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

2020-02-13: Michael is the representative for Medical Biophysics on the program committee of the Collaborative Graduate Specialization Program in Genome Biology and Bioinformatics (GBB), University of Toronto.
2020-02-13: Mehran and Michael are the co-authors of "Viral integration transforms chromatin to drive oncogenesis", a preprint on bioRxiv Bioinformatics.
2020-02-07: Michael is a guest lecturer on the CBW Pathway Workshop where he will teach the Regulatory Network Analysis lecture on July 28th, 2020.
2020-02-03: Rachel, Matthew, Eric, Mickael, and Michael are the co-authors of "Semi-supervised segmentation and genome annotation", a preprint on bioRxiv Bioinformatics.
2020-01-29: Eric releases Segway 3.0
2020-01-26: The 46 Questions for Scientists features an interview with Michael.
News archive

Contact

Twitter: @michaelhoffman
LinkedIn: michaelmhoffman