MAUDE: inferring expression changes in sorting-based CRISPR screens
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13059_2020_Article_2046.pdf
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Author(s)
de Boer, Carl G.
Ray, John P
Hacohen, Nir
Regev, Aviv
Date Issued
June 3, 2020
Journal
Genome Biology
Publisher
BioMed Central
Citation
de Boer, Carl G. et al. "MAUDE: inferring expression changes in sorting-based CRISPR screens." Genome Biology 21 (June 2020): 134 doi 10.1186/s13059-020-02046-8 ©2020 Author(s)
Version
Final published version
Abstract
Improved methods are needed to model CRISPR screen data for interrogation of genetic elements that alter reporter gene expression readout. We create MAUDE (Mean Alterations Using Discrete Expression) for quantifying the impact of guide RNAs on a target gene’s expression in a pooled, sorting-based expression screen. MAUDE quantifies guide-level effects by modeling the distribution of cells across sorting expression bins. It then combines guides to estimate the statistical significance and effect size of targeted genetic elements. We demonstrate that MAUDE outperforms previous approaches and provide experimental design guidelines to best leverage MAUDE, which is available on https://github.com/Carldeboer/MAUDE.
MIT Department
Klarman Cell Observatory (Broad Institute)
Broad Institute of MIT and Harvard
Massachusetts Institute of Technology. Department of Biology
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Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1186/s13059-020-02046-8
