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Estimating RNA dynamics using one time point for one sample in a single-pulse metabolic experiment
Over the past decade, experimental procedures such as metabolic labeling for determining RNA turnover rates at the transcriptome-wide scale have been widely adopted. Several computational methods to estimate RNA processing and degradation rates from such experiments have been suggested, but they all require several RNA sequencing samples. Here we present a method that can estimate RNA processing and degradation rates from a single sample. To this end, we use the Zeisel model and take advantagedoi:10.1101/2020.05.01.071779 fatcat:6qz6t5fxkvfqrmgfmclc72y36a