MRT-ModSeq - Rapid detection of RNA modifications with MarathonRT

The study aimed to characterize the mutational signatures produced by MarathonRT upon reverse transcription of modified cellular RNAs and use the signatures of validated modified rRNAs as training data for machine learning algorithms. Performance of the resulting trained algorithms was evaluated on a series of test RNAs in order to establish a general workflow for detection of RNA modifications Overall design: Total RNA sequenced from human, bacterial and yeast cells; Mg libraries = untreated samples; Mn libraries = modified samples PolyA-enriched RNA amplified and sequenced from human cells Please note that the processed data generated from both *_Mg and *_Mn samples is linked to the corresponding *_Mg sample records.