Researchers introduce a new tool for more accurate RNA modification detection from nanopore signals

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.

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