Andrew J. Stein

The paper uses in vitro transcribed RNA from genomic DNA to benchmark RNA modification detection by Nanopore direct RNA sequencing models.

This paper develops a computational strategy for analyzing nanopore ionic current signals from synthetic proteins, achieving high accuracy in charge-based classification of amino acids.

This paper evaluates updates to Nanopore direct RNA sequencing for detecting RNA modifications, showing improved accuracy in identifying pseudouridine and N6-methyladenosine.