CRISPRi genetic screen data: gene phenotypes	
			
		These tables show the measured phenotypes for each gene knock-down following methods described in Bassik, Kampmann et al Cell 2013 (PMID  23394947) ;  Gilbert, Horlbeck et al Cell 2014 (PMID  25307932). See Figure S1 in Gilbert, Horlbeck et al Cell 2014 for more information.	
			
		For each gene, two phenotypes are measured:	
		1) the effect of knock-down on cell growth in untreated cells (i.e. independent of myriocin treatment); these values (callled gamma) are presented in the "growth phenotype" table	
		2) the effect of knock-down on growth that can be specifically assigned to response to myriocin treatment; these values (called rho) are presented in the "myriocin phenotype" table	
			
		Phenotypes are calculated as the average phenotype from 3 separate guide RNAs targeting each gene.	
			
		A negative (non-targeting) control set is included that uses 1000 scrambled guide RNA sequences. Randomly drawing & averaging groups of 3 guide RNAs from this set allows to calculate the phenotype of 16000 "artifical" negative control genes. These are annotated as "pseudo_[number]" in the following tables. 	
			
		The significance of gamma or rho phenotypes for each gene is evaluated by a Mann-Whitney test against the negative control set. The -log10 of the Mann-Whitney p-values are shown in each table.	
			
		The groups of myriocin hyper-sensitive or resistant genes highlighted in Figure 1 are also shown in separate tables.