Penguin: Predicting RNA Pseudouridine Sites in Nanopore Sequencing Data

Our tool Penguin integrates several developed ML learning models (i.e., predictors) to identify RNA Pseudouridine sites in Nanopore direct RNA sequencing reads. Penguin extracts a set of features from the raw signal measured by the Oxford Nanopore and the corresponding basecalled kmer. Those features will be used to train the predictors included in penguin platform which will be in turn able to predict whether the signal is modified by the presence of Pseudouridine sites or not in the testing phase.