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detailed analysis of a variety of ‘omics datasets, including bulk and single cell transcriptomic data, whole-genome and exome DNA sequencing data, proteomic data and metabolomic data across a range of
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Department of Medicine. You will use established assays (including multi-omics approaches such as proteomics, ubiquitomics, interactomics and ABPP and to implement assays to examine the role of DUBs in CNS
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of ‘omics datasets, including bulk and single cell transcriptomic data, whole-genome and exome DNA sequencing data, proteomic data and metabolomic data across a range of parallel projects. You will
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individual research using proteomics and metabolomics, analysing functional omics data as well as complex qualitative and/or quantitative data from a variety of sources, and generating original ideas by
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genome, transcriptome, and proteome in human health and disease – cancer in particular – and translating this information into diagnostic and therapeutic opportunities that ultimately benefit patients
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. These will include spatial omics, genomics, transcriptomics, proteomics, metabolomics, and imaging data. You will develop analysis pipelines in using frameworks such as Nextflow or SnakeMake, and conduct