Positive training datasets for the SSBlazer model
收藏Figshare2024-02-06 更新2026-04-08 收录
下载链接：
https://figshare.com/articles/dataset/Positive_datasets/24904641/4
下载链接
链接失效反馈官方服务：
资源简介：
SSBlazer is a pioneering tool that utilizes deep learning to predict Single Strand Break (SSB) sites based on genome-wide single-strand break sequencing data with single-nucleotide resolution.<br>Xu S, Wei J, Li Y. Genome-wide nucleotide-resolution model of single-strand break site reveals species evolutionary hierarchy[J]. arXiv preprint arXiv:2208.09813, 2022.
SSBlazer是一款开创性工具，它依托深度学习技术，基于全基因组单链断裂测序数据，以单核苷酸分辨率预测单链断裂（Single Strand Break, SSB）位点。<br>Xu S, Wei J, Li Y. 基于单链断裂位点的全基因组核苷酸分辨率模型揭示物种进化层级[J]. arXiv预印本arXiv:2208.09813, 2022.
提供机构：
XU, Sheng; Li, Yu; Chan, Ting‑Fung; Zhang, Jizhou; Wei, Junkang; Sun, Siqi
创建时间：
2024-02-06
