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OpenBase: a universal framework for high-accuracy single-molecule detection of diverse non-canonical DNA bases using nanopore sequencing

Zhong, Z.; Xie, Y.-y.; Luo, R.; Chen, H.; Qiao, Z.; Ren, Z.; Zhang, Z.; Luo, G.

2026-05-16 bioinformatics
10.64898/2026.05.13.724850 bioRxiv
Show abstract

Nanopore sequencing holds great potential for the direct detection of non-canonical DNA bases from electrical signals, yet current approaches remain limited to a few classical epigenetic marks. Here we present OpenBase, an open and universal framework that standardizes training-data generation and deep learning based-modeling for single-molecule identification of diverse non-canonical DNA bases. OpenBase transforms nanopore sequencing into a broadly accessible platform for exploring the chemical diversity of DNA.

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