Article
Transferable deep learning enables identification of multiple types of RNA modifications using nanopore direct RNA sequencing
2023-04-14
Abstract excerpt
<title>Abstract</title> <p>RNA modifications play crucial roles in various biological processes. Current methods for epitranscriptome profiling using nanopore direct RNA sequencing (DRS) are unable to simultaneously identify multiple types of modifications. Here, we developed TandemMod, a transferable deep learning framework capable of detecting multiple types of RNA modifications in single DRS data. To train hig...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- 3558854e-8449-5e20-8b69-82b86aab2d66
- DOI
- 10.21203/rs.3.rs-2802013/v1
