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Jörg Grigull is an Associate Professor in the Department of Mathematics and Statistics at York University. He specializes in developing new analytical methods for gene expression data and the inference of regulatory DNA motifs in eukaryotic species including yeast, mouse, and humans. His research focuses on the application and adaptation of bioinformatics methods for the integration and evaluation of high-throughput data, particularly in computational projects predicting transcription factor binding sites and evolutionary conserved protein domains. He also investigates the effects of RNA secondary structure on transcript stabilities, and is involved in developing novel biomarker methodologies based on high-throughput data from proteomics and genomics. Additionally, Jörg's work extends into creating physiological models relevant to neuroscience.
Department of Liberal Arts & Professional Studies graduate programs generally follow the Faculty of Graduate Studies (FGS) B+ minimum requirement.