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experiments. The objective is to develop Bayesian causal models and neural networks capable of identifying relevant causal relationships between instrumental parameters and observed anomalies. The work will
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modifications transcriptome-wide using long-read sequencing (Nanopore technology) using a METTL3 shRNA-based approach [15] and an alternative de novo approach within filtered DRACH motifs [17] and/or m6RIP-seq
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