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Paper on cancer mutation modeling published in Nature Biotechnology

Maxwell Sherman's paper on modeling somatic mutation rates to uncover cancer drivers ( Sherman*, Yaari*, Priebe* et al. 2022 Nat Biotech) is now published -- congratulations, Max! This work, a collaboration with Bonnie Berger's group at MIT, developed a deep-learning model to predict cancer-specific...

Two platform talks at ASHG 2022

We're very excited to share our latest work at ASHG this October! Ronen Mukamel and Margaux Hujoel will present platform talks describing strong associations of structural variants with heritable traits and diseases that were revealed by statistical haplotype-sharing models. Ronen and Margaux were...

New preprint on phenotypic impacts of rare copy number variants

We are excited to share a new preprint, " Influences of rare copy number variation on human complex traits" (Hujoel et al.), which explores the phenotypic impact of rare copy number variation in the human genome, discovering many new ways in which genetic variation shapes human traits. These...

Research

We solve computational challenges in biomedical research that require statistical or algorithmic innovations. Much of our work is aimed at unlocking the full power of biobank-scale genetic data sets now becoming available (e.g., N=500,000 UK Biobank). To this end, we develop high-performance open...