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 Rv3639c/-:

update plot	correlation	link to info on gene
Rv0839/-	(cc=0.4798)	info on Rv0839/-
Rv0915c/PPE14	(cc=0.397)	info on Rv0915c/PPE14
Rv0864/moaC2	(cc=0.3655)	info on Rv0864/moaC2
Rv0912/-	(cc=0.3631)	info on Rv0912/-
Rv0630c/recB	(cc=0.3611)	info on Rv0630c/recB
Rv0661c/vapC7	(cc=0.3577)	info on Rv0661c/vapC7
Rv3055/-	(cc=0.3489)	info on Rv3055/-
Rv3628/ppa	(cc=0.3467)	info on Rv3628/ppa
Rv3585/radA	(cc=0.3428)	info on Rv3585/radA
Rv1975/-	(cc=0.3411)	info on Rv1975/-

Correlation of Rv3639c/- with Rv3628/ppa

Normalized LFCs for Rv3639c/-:
(description and provenance of datasets)

	Rv3639c/-	Rv3628/ppa
Fe_supp_jason_reseq	0.983	0.35
low_pH_jason_reseq	-1.625	-0.44
NO_jason_reseq	-0.662	0.205
B6_jason_reseq	-1.352	-0.941
MHCII_jason_reseq	0.135	-0.829
Isoniazid02	0.575	1.681
Rifampicin4	-0.374	-0.785
Ethambutol3	0.354	0.602
Meropenem3	-0.012	-0.55
Vancomycin16	0.133	-0.178
Rv2680_day32	1.398	0.0
H37Rv_KO_MarP	0.264	0.26
hypoxia_3wks	-0.718	0.0
hypoxia_6wks	-0.284	-0.464
glycerol	0.669	0.992
cholesterol	0.153	0.145
AJ	0.076	0.0
Bibs02	-0.261	0.0
Bibs02c	0.459	0.0
BL6	-0.442	1.812
BL6a	0.703	1.329
BXD01	-0.755	1.01
BXD010	0.247	0.928
BXD011	-0.134	0.707
BXD03	-0.784	1.849
BXD04	-0.309	0.896
BXD05	0.259	1.497
BXD06	-0.108	1.221
BXD07	-0.198	0.929
BXD08	0.014	0.564
BXD09	0.383	0.78
CAST	0.075	0.0
CCcont	0.274	1.955
DS01	-0.108	0.0
DS02	0.647	0.0
DS04	-0.458	0.0
DS0c	0.094	0.0
GP01	1.928	2.386
GP02	-0.405	0.409
GP0c	1.21	2.341
NOD	1.899	0.0
NZO	1.389	0.0
PWK	0.742	0.0
H37Rv_KO_CtpC	-0.093	0.0
H37Rv_KO_CtpD	1.045	0.0
H37Rv_KO_Rv1272	0.091	0.693
H37Rv_KO_SugABC	0.42	0.099
H37Rv_KO_MbtN	-0.414	0.0
Trans05	-0.89	0.0
macrophage_unactivated	0.982	-0.211
IL1	0.43	0.546
Rapamycin	0.632	0.196
Tcell	0.046	-0.218
GMCSF	0.908	1.053
IFNab	0.478	-0.203
IFNg	0.486	0.93
IFNg_GMCSF1	1.379	-0.211
Rv1432_day32	-0.812	0.0
Rv1565c_day32	-0.024	0.0
secA2_input	-0.396	-0.412
delta_Rv3594	-0.431	-2.424
delta_Rv3717	-0.813	-2.47
delta_Rv3811	-0.358	-1.782
delta_Rv0954	-1.994	-1.66
PonA1	-0.267	-2.266
EccD1_KO	0.562	0.286
EspI_KO	0.137	-0.265
PE35_KO	1.324	1.706
PPE68_KO	1.753	0.793
glycerol2	0.563	0.369
lignocerate	0.184	1.218
oleate	-0.096	0.0
phosphatidylcholine	0.228	0.95
acetate	-0.833	1.662
glucAc	0.168	1.638
Rv0950ko	0.504	-0.582
Rv1096ko	-0.06	0.513
Rv3684ko	0.658	0.193
delta_otsA_trehalose	0.654	0.0