Systematic comparison of tools used for m6A mapping from nanopore direct RNA sequencing

State-of-the-art algorithms for m6A detection and quantification via nanopore direct RNA sequencing have been continuously developed, little is known about their capacities and limitations, which makes a comprehensive assessment in urgent need. Therefore, we performed comprehensive benchmarking of 10 computational tools relying on current-based and base-calling “errors” strategies for m6A detection by nanopore sequencing. Overall design: m6A detection of wild type and Mettl3 knock-out mouse embryonic stem cells.