NEMO: Improved and accurate models for identification of 6mA using Nanopore sequencing
Onkar KulkarniiD, Lamuk ZaveriiD, Reuben Jacob MathewiD, Nitesh Kumar SinghiD, Sreenivas Ara, Shambhavi GardeiD, Manjula ReddyiD, Karthik Bharadwaj TallapakaiD, Divya Tej SowpatiiD
Abstract
DNA methylation plays a key role in epigenetic regulation across lifeforms. Nanopore sequencing enables direct detection of base modifications. While multiple tools are currently available for studying 5-methylcytosine (5mC), there is a paucity of models that can detect 6-methyladenine (6mA) from raw nanopore data. Leveraging the motif-driven nature of bacterial methylation systems, we generated 6mA identification models that vastly surpass the accuracy of the current best model. Our work enables the study of 6mA at a single-base resolution in new as well as existing nanopore datasets.
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