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

Research Bioinformatics AI

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

Nature Methods 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 doi:10.1038/s41592-026-03225-4
Public signals OpenAlex citations 0
Providers: Hugging Face · N/A OpenAlex · Citations 0 Publisher · N/A Semantic Scholar · N/A X · N/A Fetched 2026-09-25 14:17:04.078437 UTC

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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