官方服务：
资源简介：
ABE-igRNA-machine learning-YZ
应用场景：
创建时间：
2023-03-10
相关数据集
"A streamlined base editor engineering strategy to reduce bystander editing
Base editing (BE) can permanently correct over half of known human pathogenic genetic variants without requiring a repair template, thus serving as a promising therapeutic tool to treat a broad spectr
NIAID Data Ecosystem40
Development of a hRad51âCas9 nickase fusion that mediates HDR without double-stranded breaks
Development of a hRad51âCas9 nickase fusion that mediates HDR without double-stranded breaks - sequencing reads from mammalian cell experiments
NIAID Data Ecosystem30
Engineering Tripartite Gene Editing Machinery for Highly Efficient Non-Viral Targeted Genome Integration
We developed Cas9 fusion proteins containing single-stranded DNA-binding proteins and a 20-amino acid motif with single-stranded DNA-binding function. These fusion proteins demonstrated higher efficie
NIAID Data Ecosystem20
Additional file 2: of DeepCRISPR: optimized CRISPR guide RNA design by deep learning
Detailed comparison results for sgRNA on-target efficacy prediction and off-target site prediction. (XLSX 16 kb)
Figshare2018-06-27 更新20
