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NanoTS: a deep learning tool for accurate SNP calling in nanopore long-read transcriptome data

Nature Methods Bioinformatics AI Zelin Liu, Feng Wang, Robert Wang, David W. Wu, Nicole DeBruyne, Kelsey Keith, Elizabeth M. McCormick, Joseph Jee-Hwan Park, Matthew T. Sullenberger, Andrew C. Edmondson, Marni J. Falk, Lan Lin, Yi Xing 2026-09-22

TL;DR - NanoTS is a deep learning tool for detecting SNPs and calling genotypes from nanopore long-read transcriptome sequencing data. It aims to improve variant analysis directly from full-length RNA reads.

Designed specifically for nanopore long-read transcriptome data.
Uses deep learning for SNP detection and genotype calling.
The provided abstract does not include architecture details, benchmark results, or quantitative accuracy improvements.

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