Researchers from the University of Eastern Finland and Aalto University have developed a computational framework called SegPore that enhances the accuracy of RNA modification detection from direct RNA nanopore sequencing data. The study, led by Dr. Lu Cheng, has been published as a reviewed preprint in eLife.
Researchers introduce a new tool for more accurate RNA modification detection from nanopore signals
