Hang Qin

DENA: training an authentic neural network model using Nanopore sequencing data of Arabidopsis transcripts for detection and quantification of N6-methyladenosine on RNA

The paper introduces DENA, a neural network model trained on Nanopore sequencing data to detect and quantify N6-methyladenosine (m6A) in RNA, showing high accuracy in Arabidopsis and consistency with human data.

Implementation of CRISPR-Cas13a system in fission yeast and its repurposing for precise RNA editing

The paper implements and repurposes the CRISPR-Cas13a system in fission yeast for precise RNA editing, demonstrating reduced off-target effects and programmable nucleotide editing.