We incorporated 13 genome-wide deep sequencing techniques, including GUIDE-seq, CIRCLE-seq, SITE-seq, DISCOVER-seq, DISCOVER-seq+, CHANGE-seq, Digenome-seq, DIG-seq, HT-GTS, IDLV and BLESS to construc

Figshare2024-10-03 更新30

TAPE-seq: A cell-based method to predict genome-wide off-target of Prime editor

基因编辑脱靶预测

Primeeditor安全性

new method for prediction of genome-wide off-target of Prime editor

NIAID Data Ecosystem10

Human genetic diversity alters therapeutic gene editing off-target outcomes

基因编辑脱靶预测

遗传变异与精准治疗

Data illustrating how genetic variation may modify the genomic outcomes of therapeutic gene editing. We developed a tool called CRISPRme that explicitly and efficiently integrates human genetic varian

NIAID Data Ecosystem30

Rec-seq: High-resolution specificity profiling and off-target prediction for site-specific DNA recombinases

酶特异性分析

基因编辑脱靶预测

Rec-seq identifies bona fide recombinase substrates from a pool of randomized DNA sequences through in vitro selection and high-throughput sequencing. We used Rec-seq to study the DNA recombination pr

NIAID Data Ecosystem20