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资源简介：
epigenetic features for a machine learning prediction website of sgRNA activity score.
应用场景：
创建时间：
2021-11-07
相关数据集
Caenorhabditis elegans 3 prime GG gRNAs per Gene - block scan
Survey of number of overlapping 3'GG gRNA sites in each known gene from Ensembl release 79.
NIAID Data Ecosystem100
MOESM4 of Prediction of sgRNA on-target activity in bacteria by deep learning
Additional file 4 Eukaryotic datasets. Eleven independent eukaryotic test and training set of DeepCRISPR, DeepCas9, TSAM, and our CNN_5layers.
NIAID Data Ecosystem60
MOESM1 of Prediction of sgRNA on-target activity in bacteria by deep learning
Additional file 1 More detailed tables. Statistical significance of Spearman correlation coefficients in this paper and more details about 5-fold cross-validation. Table S1. Performance of all modes i
Figshare2024-02-08 更新50
COD additional files
Additional data for "Online High-throughput Mutagenesis Designer Using Scoring Matrix of Sequence-specific Endonucleases" on the Journal of Integrative Bioinformatics, for the COD web service of cas9.
Figshare2015-11-22 更新70
sgRNA Scorer 2.0: A Species-Independent Model To Predict CRISPR/Cas9 Activity
It has been possible to create tools to predict single guide RNA (sgRNA) activity in the CRISPR/Cas9 system derived from Streptococcus pyogenes due to the large amount of data that has been generated
NIAID Data Ecosystem60
