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data (TurboID/proteomics, ChIP-seq and RNAseq, including assessment of alternative splicing) in light of tumour evolution, with the aim of understanding the underlying dynamics of pediatric brain tumour
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data from genomics, and potentially transcriptomics, proteomics, and metabolomics to elucidate the mechanisms of diseases. Collaborates with a multidisciplinary team, including bioinformaticians
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. The lab has a strong interest in cancer biology, focusing on discovering novel genomic and proteomic alterations associated with GI cancers, and translating this knowledge into novel diagnostic and
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data (TurboID/proteomics, ChIP-seq and RNAseq, including assessment of alternative splicing) in light of tumour evolution, with the aim of understanding the underlying dynamics of pediatric brain tumour
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apply cutting edge tools including proteomics, transcriptomics, circuit mapping, 2P imaging, and nanoscopic imaging to understand how disruptions in neural-microglia signaling may contribute the disease