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

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

2019-06-14: Rachel presents a poster on "Semi-supervised learning in Segway" at the ICML 2019 Workshop on Computational Biology in Long Beach, California, USA.
2019-05-30: Mehran is an invited speaker at the James Lepock Memorial (JLM) Student Research Symposium.
2019-05-18: Shen et al. paper, of which Michael is a co-author, wins the Till and McCulloch Paper of the Year - Translational category.
2019-05-17: Michael is PI and Samantha is co-investigator on a McLaughlin Centre accelerator grant entitled "Genome-wide cell-free DNA methylation enrichment and sequencing for preeclampsia diagnosis".
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.
News archive

Contact

Twitter: @michaelhoffman
LinkedIn: michaelmhoffman