Hoffman research group

Michael M. Hoffman

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.

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

People

Meet the team

  • Michael Hoffman
  • Eric Roberts
  • Coby Viner
  • Mickael Mendez
  • Samantha Wilson
  • Linh Huynh
  • Annie Lu
  • Esther Yoo
  • Luomeng Tan
  • Veronica Alba
  • Natalia Mukhina

News

  • 2021-09-02: Sam received the Elsevier Placenta New Investigator award for her talk "A new method to absolutely quantify and enrich for placental DNA from maternal blood using DNA methylation" at the International Federation of Placenta Associations annual meeting.
  • 2021-08-30: Michael is a co-author on "Reproducibility standards for machine learning in the life sciences", an article in Nature Methods.
  • 2021-08-25: Michael is an invited speaker to present at a Computational Biology Seminar Series at the Garvan Institute of Medical Research in Sydney, Australia, on April 13, 2022.
  • 2021-06-22: Michael is a co-author on "Tumor-Naive Multimodal Profiling of Circulating Tumor DNA in Head and Neck Squamous Cell Carcinoma", an article in Clinical Cancer Research.
  • 2021-06-01: Mehran was awarded the CIHR Post-doctoral Fellowship.
  • 2021-05-26: Michael is a co-author on a paper titled "Viral integration transforms chromatin to drive oncogenesis" accepted for a talk at the Intelligent Systems for Molecular Biology/European Conference on Computational Biology 2021 Conference (ISMB/ECCB 2021) in July 2021.
  • News archive

Contact

  •  
  • Twitter: @michaelhoffman
  • LinkedIn: michaelmhoffman