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[1] that excels with a high participation rate and a rich genomic, metabolomic and proteomic collection. Targeted (Biocrates p180 kit-based) metabolomics data for 7,000 participants were generated and
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and cell culture techniques. These will be used in combination with genome editing, metabolomics, proteomics, and spatial transcriptomic approaches designed to explore how and why particular messenger
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, epigenetics, proteomics, single cell omics, bioinformatics, and gene correction. Participating institutions represent 7 different countries, with 8 members in academia and 2 non-academic, from the biotech
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Experience with analyzing large omics data sets (ie expression or proteomics data) Capability in using tools for version control tools (ie. GitHub) Good coding skills in one of the commonly used statistical
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of disease with high dimensional data now available for Functional Genomics (e.g DNA microarrays, SNPs, proteomics, Deep Sequencing), with clinical and imaging data and geodatabases of environmental factors