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

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.

SUBMITTER: Xu S 

PROVIDER: S-EPMC10863285 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature