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and transcriptomic data that will be subjected to bioinformatic analysis to integrate and interpret complex datasets, helping us to better understand the underlying mechanisms of the disease. Our
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of gains and losses of the motif sequence found at chromosome breakpoints using our collection of well-assembled genomes at different evolutionary scales (haplotypes, strains, and species) via bioinformatic
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, engineering, bioinformatics, machine learning, artificial intelligence) to support minimally invasive and targeted preventive and predictive medicine capable of limiting age-related functional disorders
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. The results will be validated using nanopore-specific bioinformatics tools and mass spectrometry. This project will provide a detailed understanding of the role of m6A and other modifications in the regulation