Claudia Kleinman Associate Professor McGill University
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Through the computational analysis of genome-wide data, we aim to elucidate mechanisms regulating transcription and RNA processing, their interplay with genetic and epigenetic factors, and how they cause disease. Our main focus is on cancer and brain development, two areas where regulation of gene expression plays a major role, and where unprecedented amounts of data are being produced. Key components of our research are (a) the development of novel strategies to integrate genomic, epigenomic and transcriptomic data across species and disease models, (b) the modeling of dynamic changes over normal cellular differentiation to guide interpretation of disease data, and (c) the use of single-cell technologies to resolve cell-to-cell variation, identify rare cells driving disease progression, and define the effect of the microenvironment in molecular phenotypes.

Website: https://functionalgenomics.ca/

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