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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...

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Literature Corpus work
3558854e-8449-5e20-8b69-82b86aab2d66
DOI
10.21203/rs.3.rs-2802013/v1
Open publication

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Transferable deep learning enables identification of multiple types of RNA modifications using nanopore direct RNA sequencingDOI 10.21203/rs.3.rs-2802013/v1
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