Additional file 3 CNN architectures for comparison. CNN architectures from CNN_2layers to CNN_7layers.

Figshare2024-02-08 更新110

Small variations in tracrRNA sequence have a large effect on sgRNA activity

CRISPR technology is a powerful tool for studying genome function. To aid in picking sgRNAs that have maximal cutting efficacy, several groups have developed models that predict sgRNA on-target activi

NIAID Data Ecosystem80

Additional file 6 of CRISPRpred(SEQ): a sequence-based method for sgRNA on target activity prediction using traditional machine learning

sgRNA活性预测

CRISPRi基因编辑

Additional file 6 This file contains the detailed comparison of experimental setup D, E and F with previous tools.

Figshare2020-06-03 更新70

MOESM9 of Prediction of sgRNA on-target activity in bacteria by deep learning

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MOESM9 of Prediction of sgRNA on-target activity in bacteria by deep learning

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