Sara Alberti, Valeria Vannini, Luca Ghirotto, Loris Bonetti, Sergio Rovesti, Paola Ferri
Learning to teach with patients and caregivers: a focused ethnography
BMC medical education
nanopore direct rna sequencing drs emerged powerful tool rna modification identification however concurrently detecting multiple types modifications single drs sample remains challenge develop tandemmod transferable deep learning framework capable detecting multiple types rna modifications single drs data train highperformance tandemmod models generate vitro epitranscriptome datasets cdna libraries containing thousands transcripts labeled various types rna modifications validate performance tandemmod vitro transcripts vivo human cell lines confirming high accuracy profiling m6a m5c modification sites furthermore perform transfer learning identifying modifications m7g inosine significantly reducing training data size running time without compromising performance finally apply tandemmod identify 3 types rna modifications rice grown different environments demonstrating applicability across species conditions summary provide resource groundtruth labels serve benchmark datasets nanoporebased modification identification methods tandemmod identifying diverse rna modifications using single drs sample