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 Rv0184/-:

update plot	correlation	link to info on gene
Rv3922c/-	(cc=0.5587)	info on Rv3922c/-
Rv3770B/-	(cc=0.5035)	info on Rv3770B/-
Rv0309/-	(cc=0.4897)	info on Rv0309/-
Rv0821c/phoY2	(cc=0.4753)	info on Rv0821c/phoY2
Rv2179c/-	(cc=0.4613)	info on Rv2179c/-
Rv0905/echA6	(cc=0.4519)	info on Rv0905/echA6
Rv2731/-	(cc=0.4471)	info on Rv2731/-
Rv1712/cmk	(cc=0.4354)	info on Rv1712/cmk
Rv0179c/lprO	(cc=0.4326)	info on Rv0179c/lprO
Rv3719/-	(cc=0.4322)	info on Rv3719/-

Correlation of Rv0184/- with Rv0179c/lprO

Normalized LFCs for Rv0184/-:
(description and provenance of datasets)

	Rv0184/-	Rv0179c/lprO
Fe_supp_jason_reseq	-0.481	-0.373
low_pH_jason_reseq	0.468	-2.041
NO_jason_reseq	0.425	-0.326
B6_jason_reseq	-0.988	-1.003
MHCII_jason_reseq	-0.623	0.02
Isoniazid02	0.269	2.229
Rifampicin4	-0.639	-4.094
Ethambutol3	1.13	1.668
Meropenem3	1.313	0.259
Vancomycin16	-0.881	-1.435
Rv2680_day32	0.849	0.429
H37Rv_KO_MarP	0.502	0.437
hypoxia_3wks	-1.017	-1.005
hypoxia_6wks	-0.666	-0.837
glycerol	1.448	0.622
cholesterol	0.083	0.508
AJ	-0.176	0.116
Bibs02	1.351	0.874
Bibs02c	0.835	-0.312
BL6	0.719	0.74
BL6a	1.376	0.835
BXD01	1.114	0.825
BXD010	1.26	0.338
BXD011	1.352	0.795
BXD03	0.919	0.622
BXD04	1.05	0.696
BXD05	0.715	1.344
BXD06	1.159	0.675
BXD07	1.212	1.124
BXD08	1.846	0.904
BXD09	0.932	1.033
CAST	2.087	-0.484
CCcont	0.487	0.555
DS01	1.234	0.231
DS02	0.996	-0.181
DS04	0.436	0.422
DS0c	0.435	0.644
GP01	0.0	-0.252
GP02	0.42	0.103
GP0c	0.942	0.092
NOD	0.28	-0.817
NZO	0.376	1.071
PWK	0.32	0.0
H37Rv_KO_CtpC	-0.149	0.233
H37Rv_KO_CtpD	-0.793	0.362
H37Rv_KO_Rv1272	0.23	0.255
H37Rv_KO_SugABC	1.122	1.023
H37Rv_KO_MbtN	1.02	-0.464
Trans05	1.461	0.075
macrophage_unactivated	0.562	0.363
IL1	1.382	0.018
Rapamycin	0.902	0.491
Tcell	1.476	0.039
GMCSF	1.605	0.438
IFNab	0.396	0.257
IFNg	0.35	-0.444
IFNg_GMCSF1	1.54	0.248
Rv1432_day32	0.926	1.063
Rv1565c_day32	0.049	-0.325
secA2_input	-0.08	0.157
delta_Rv3594	0.061	1.25
delta_Rv3717	0.099	0.883
delta_Rv3811	0.309	0.446
delta_Rv0954	-1.07	0.916
PonA1	0.27	0.825
EccD1_KO	0.237	0.145
EspI_KO	-0.034	-0.202
PE35_KO	-0.257	0.163
PPE68_KO	0.483	0.179
glycerol2	-0.132	-0.577
lignocerate	-0.095	-0.323
oleate	0.224	-0.882
phosphatidylcholine	-0.373	-0.657
acetate	-0.239	-0.259
glucAc	0.149	-0.149
Rv0950ko	0.832	0.492
Rv1096ko	1.028	0.492
Rv3684ko	2.351	0.861
delta_otsA_trehalose	-0.57	-1.068