Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.11.20.391573v1?rss=1 Authors: Mastrantonio, G., Bibbona, E., Furlan, M. Abstract: We propose a hierarchical Bayesian approach to infer the RNA synthesis, processing, and degradation rates from sequencing data. We parametrise kinetic rates with novel functional forms and estimate the parameters through a Dirichlet process defined at a low level of hierarchy. Despite the complexity of this approach, we manage to perform inference, clusterisation and model selection simultaneously. We apply our method to investigate transcriptional and post-transcriptional responses of murine fibroblasts to the activation of proto-oncogene MYC. We uncover a widespread choral regulation of the three rates, which was not previously observed in this biological system. Copy rights belong to original authors. Visit the link for more info