GuidePro: a multi-source ensemble predictor for prioritizing sgRNAs in CRISPR/Cas9 protein knockouts.
GuidePro: a multi-source ensemble predictor for prioritizing sgRNAs in CRISPR/Cas9 protein knockouts.
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GuidePro:一种多源集成预测器,用于在 CRISPR/Cas9 蛋白敲除中优先考虑 sgRNA。
DOI:
10.1093/bioinformatics/btaa1068
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Xu,Han
中科院分区:
文献类型:
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作者:
He,Wei;Wang,Helen;Wei,Yanjun;Jiang,Zhiyun;Tang,Yitao;Chen,Yiwen;Xu,Han
MotivationThe 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.ResultsWe developed GuidePro, a two-layer ensemble predictor that enables the integration of multiple factors for the prioritization of sgRNAs in protein knockouts. Tested on independent datasets, GuidePro outperforms existing methods and demonstrates consistent superior performance in predicting phenotypes caused by protein loss-of-function, suggesting its robustness for prioritizing sgRNAs in various applications of CRISPR/Cas9 knockouts.Availability and implementationGuidePro is available at https://github.com/MDhewei/GuidePro. A web application for prioritizing sgRNAs that target protein-coding genes in human, monkey and mouse genomes is available at https://bioinformatics.mdanderson.org/apps/GuidePro.Supplementary informationSupplementary data are available atBioinformaticsonline.