TnSeqCorr

• These are correlations of TnSeq responses across 82 experimental conditions.
• LFCs (log2-fold-changes) were computed for each gene in each condition relative to a relevant control condition (e.g. H37Rv grown on 7H9).
• The LFCs were normalized by dividing by the standard deviation for each condition. (so roughly, |LFC|>2 are the outliers, i.e. tails of the distribution)
• Note that essential genes often have LFCs around 0.
• Data for some genes is not available if they have less than 3 TA sites, or the dynamic range of LFCs is less than 2.0 across all conditions. (This is the case for many essential genes.)
• 'leverage' on each plot is a statistical score that indicates how much the regression is influenced by a few outlier points; the traditional threshold is indicated on the plots (3p/n, which is about 0.07 for this dataset), but in practice, cases with leverage > ~0.2 seem to be the least reliable (most misleading) correlation coefficients.

Top 10 genes with highest correlation to Rv3917c/parB:

update plot	correlation	link to info on gene
Rv3694c/-	(cc=0.4906)	info on Rv3694c/-
Rv1500/-	(cc=0.4799)	info on Rv1500/-
Rv2443/dctA	(cc=0.474)	info on Rv2443/dctA
Rv0309/-	(cc=0.47)	info on Rv0309/-
Rv2584c/apt	(cc=0.4457)	info on Rv2584c/apt
Rv2430c/PPE41	(cc=0.4374)	info on Rv2430c/PPE41
Rv1509/-	(cc=0.4321)	info on Rv1509/-
Rv2819c/-	(cc=0.4294)	info on Rv2819c/-
Rv2586c/secF	(cc=0.4251)	info on Rv2586c/secF
Rv2274c/mazF8	(cc=0.4212)	info on Rv2274c/mazF8

Correlation of Rv3917c/parB with Rv2819c/-

Normalized LFCs for Rv3917c/parB:
(description and provenance of datasets)

	Rv3917c/parB	Rv2819c/-
Fe_supp_jason_reseq	-0.655	0.257
low_pH_jason_reseq	-0.905	-0.032
NO_jason_reseq	-1.42	0.05
B6_jason_reseq	0.189	0.083
MHCII_jason_reseq	-0.663	0.392
Isoniazid02	-0.281	-0.18
Rifampicin4	-0.523	0.406
Ethambutol3	-0.365	1.216
Meropenem3	-0.359	-0.2
Vancomycin16	0.0	0.255
Rv2680_day32	0.0	0.526
H37Rv_KO_MarP	-0.825	-0.255
hypoxia_3wks	-0.55	-0.506
hypoxia_6wks	0.263	-0.196
glycerol	0.0	0.149
cholesterol	0.0	0.49
AJ	1.14	1.397
Bibs02	0.0	0.449
Bibs02c	0.0	1.205
BL6	0.238	0.652
BL6a	0.377	1.124
BXD01	0.0	0.761
BXD010	0.0	0.543
BXD011	1.742	0.591
BXD03	0.0	0.755
BXD04	0.124	0.498
BXD05	0.0	0.611
BXD06	0.0	0.757
BXD07	0.0	0.642
BXD08	0.253	0.294
BXD09	0.268	0.652
CAST	0.23	0.48
CCcont	0.285	0.938
DS01	0.0	1.025
DS02	0.0	0.312
DS04	0.0	-0.122
DS0c	0.0	1.152
GP01	0.0	0.958
GP02	0.0	1.04
GP0c	0.0	0.714
NOD	0.225	0.858
NZO	0.199	0.653
PWK	1.421	2.593
H37Rv_KO_CtpC	0.998	0.992
H37Rv_KO_CtpD	0.0	-0.144
H37Rv_KO_Rv1272	0.0	0.774
H37Rv_KO_SugABC	0.0	0.194
H37Rv_KO_MbtN	0.0	1.627
Trans05	0.0	1.227
macrophage_unactivated	0.761	-0.205
IL1	0.374	-0.193
Rapamycin	0.387	0.374
Tcell	0.0	0.202
GMCSF	0.0	0.164
IFNab	0.0	0.0
IFNg	0.0	-0.219
IFNg_GMCSF1	0.0	0.148
Rv1432_day32	0.0	0.87
Rv1565c_day32	0.0	-0.935
secA2_input	-0.759	-1.116
delta_Rv3594	0.0	0.0
delta_Rv3717	-0.563	-0.292
delta_Rv3811	0.138	0.085
delta_Rv0954	0.0	-1.056
PonA1	-0.516	-0.464
EccD1_KO	-0.329	0.378
EspI_KO	-0.918	0.516
PE35_KO	-0.601	2.106
PPE68_KO	0.0	1.769
glycerol2	0.0	1.002
lignocerate	0.0	1.189
oleate	0.0	0.438
phosphatidylcholine	0.0	1.028
acetate	0.229	1.107
glucAc	0.143	0.709
Rv0950ko	-0.905	-1.013
Rv1096ko	-0.28	-0.805
Rv3684ko	-1.359	-1.336
delta_otsA_trehalose	0.0	-0.851