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SSBlazer: a genome-wide nucleotide-resolution model for predicting single-strand break sites. 2024
Department of Computer Science and Engineering, The Chinese University of Hong Kong, 100871, Hong Kong SAR, China.
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.
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