Genome Biology (Feb 2024)

SSBlazer: a genome-wide nucleotide-resolution model for predicting single-strand break sites

  • Sheng Xu,
  • Junkang Wei,
  • Siqi Sun,
  • Jizhou Zhang,
  • Ting-Fung Chan,
  • Yu Li

DOI
https://doi.org/10.1186/s13059-024-03179-w
Journal volume & issue
Vol. 25, no. 1
pp. 1 – 20

Abstract

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Abstract Single-strand breaks are the major DNA damage in the genome and serve a crucial role in various biological processes. To reveal the significance of single-strand breaks, multiple sequencing-based single-strand break detection methods have been developed, which are costly and unfeasible for large-scale analysis. Hence, we propose SSBlazer, an explainable and scalable deep learning framework for single-strand break site prediction at the nucleotide level. SSBlazer is a lightweight model with robust generalization capabilities across various species and is capable of numerous unexplored SSB-related applications.

Keywords