Abstract

Systems for CRISPR-based combinatorial perturbation of two or more genes are emerging as powerful tools for uncovering genetic interactions. However, systematic identification of these relationships is complicated by sample, reagent, and biological variability. We develop a variational Bayes approach (GEMINI) that jointly analyzes all samples and reagents to identify genetic interactions in pairwise knockout screens. The improved accuracy and scalability of GEMINI enables the systematic analysis of combinatorial CRISPR knockout screens, regardless of design and dimension. GEMINI is available as an open source R package on GitHub at https://github.com/sellerslab/gemini.

Details

Title
GEMINI: a variational Bayesian approach to identify genetic interactions from combinatorial CRISPR screens
Author
Zamanighomi, Mahdi; Jain, Sidharth S; Ito, Takahiro; Pal, Debjani; Daley, Timothy P; Sellers, William R
Pages
1-10
Section
Method
Publication year
2019
Publication date
2019
Publisher
BioMed Central
ISSN
14747596
e-ISSN
1474760X
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1186/s13059-019-1745-9
ProQuest document ID
3200616244
Copyright
© 2019. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.