@article {447906,
	title = {MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens.},
	journal = {Genome Biol},
	volume = {15},
	number = {12},
	year = {2014},
	month = {2014},
	pages = {554},
	abstract = {We propose the Model-based Analysis of Genome-wide CRISPR/Cas9 Knockout (MAGeCK) method for prioritizing single-guide RNAs, genes and pathways in genome-scale CRISPR/Cas9 knockout screens. MAGeCK demonstrates better performance compared with existing methods, identifies both positively and negatively selected genes simultaneously, and reports robust results across different experimental conditions. Using public datasets, MAGeCK identified novel essential genes and pathways, including EGFR in vemurafenib-treated A375 cells harboring a BRAF mutation. MAGeCK also detected cell type-specific essential genes, including BCR and ABL1, in KBM7 cells bearing a BCR-ABL fusion, and IGF1R in HL-60 cells, which depends on the insulin signaling pathway for proliferation.},
	keywords = {Algorithms, Caspase 9, Cell Line, Tumor, Clustered Regularly Interspaced Short Palindromic Repeats, Computational Biology, Gene Expression Regulation, Neoplastic, Gene Knockout Techniques, Genes, Essential, Genetic Predisposition to Disease, HL-60 Cells, Humans, Neoplasms},
	issn = {1474-760X},
	doi = {10.1186/s13059-014-0554-4},
	author = {Li*, Wei and Xu*, Han and Xiao, Tengfei and Cong, Le and Love, Michael I and Zhang, Feng and Irizarry, Rafael A and Liu, Jun S and Brown, Myles and X. Shirley Liu}
}
