GuidePro: a multi-source ensemble predictor for prioritizing sgRNAs in CRISPR/Cas9 protein knockouts | Zendy

Wei He | Zendy; Helen H. Wang | Zendy; Yanjun Wei | Zendy; Zhiyun Jiang | Zendy; Yitao Tang | Zendy; Yiwen Chen | Zendy; Han Xu | Zendy

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GuidePro: a multi-source ensemble predictor for prioritizing sgRNAs in CRISPR/Cas9 protein knockouts

Author(s) -

Wei He,

Helen H. Wang,

Yanjun Wei,

Zhiyun Jiang,

Yitao Tang,

Yiwen Chen,

Han Xu

Publication year - 2020

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btaa1068

Subject(s) - crispr , gene knockout , cas9 , computer science , computational biology , subgenomic mrna , prioritization , frameshift mutation , robustness (evolution) , source code , biology , gene , genetics , phenotype , programming language , management science , economics

The efficiency of CRISPR/Cas9-mediated protein knockout is determined by three factors: sequence-specific sgRNA activity, frameshift probability and the characteristics of targeted amino acids. A number of computational methods have been developed for predicting sgRNA efficiency from different perspectives. However, an integrative method that combines all three factors for rational sgRNA selection is still lacking.

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