書誌事項
- 公開日
- 2019-01-23
- DOI
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- 10.1101/gr.238923.118
- 公開者
- Cold Spring Harbor Laboratory
この論文をさがす
説明
<jats:p>Genome-wide CRISPR/Cas9 knockout screens are revolutionizing mammalian functional genomics. However, their range of applications remains limited by signal variability from different guide RNAs that target the same gene, which confounds gene effect estimation and dictates large experiment sizes. To address this problem, we report JACKS, a Bayesian method that jointly analyzes screens performed with the same guide RNA library. Modeling the variable guide efficacies greatly improves hit identification over processing a single screen at a time and outperforms existing methods. This more efficient analysis gives additional hits and allows designing libraries with a 2.5-fold reduction in required cell numbers without sacrificing performance compared to current analysis standards.</jats:p>
収録刊行物
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- Genome Research
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Genome Research 29 (3), 464-471, 2019-01-23
Cold Spring Harbor Laboratory