Yinshan Fang

This study shows that diverse training data improves basecalling accuracy for novel RNA modifications in nanopore sequencing.

This paper introduces an iterative method to improve nanopore sequencing basecalling accuracy for therapeutic RNA quality control, enabling precise analysis of modified RNAs.

This paper adapts nanopore sequencing basecalling models for modification detection using incremental learning and anomaly detection, achieving single-molecule and single-nucleotide resolution across multiple species and modification types.

The paper identifies the Foxa2 lineage's role in lung development and demonstrates that conditional complementation of this lineage can generate a whole lung in mice.