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 Rv1892/-:

update plot	correlation	link to info on gene
Rv1805c/-	(cc=0.5706)	info on Rv1805c/-
Rv0093c/-	(cc=0.5354)	info on Rv0093c/-
Rv3487c/lipF	(cc=0.5017)	info on Rv3487c/lipF
Rv2281/pitB	(cc=0.4625)	info on Rv2281/pitB
Rv2758c/vapB21	(cc=0.4559)	info on Rv2758c/vapB21
Rv3528c/-	(cc=0.4516)	info on Rv3528c/-
Rv1847/-	(cc=0.4494)	info on Rv1847/-
Rv2151c/ftsQ	(cc=0.4486)	info on Rv2151c/ftsQ
Rv1499/-	(cc=0.4438)	info on Rv1499/-
Rv3840/-	(cc=0.4407)	info on Rv3840/-

Correlation of Rv1892/- with Rv2281/pitB

Normalized LFCs for Rv1892/-:
(description and provenance of datasets)

	Rv1892/-	Rv2281/pitB
Fe_supp_jason_reseq	0.065	0.223
low_pH_jason_reseq	-0.997	-0.343
NO_jason_reseq	0.228	0.215
B6_jason_reseq	-0.277	0.28
MHCII_jason_reseq	-0.127	-0.784
Isoniazid02	0.194	-1.67
Rifampicin4	-0.011	0.458
Ethambutol3	0.4	0.555
Meropenem3	0.452	-0.641
Vancomycin16	0.127	-0.584
Rv2680_day32	0.304	0.336
H37Rv_KO_MarP	0.212	-0.325
hypoxia_3wks	0.299	-0.191
hypoxia_6wks	0.62	-0.1
glycerol	0.24	0.171
cholesterol	0.302	0.215
AJ	0.768	0.482
Bibs02	0.069	0.155
Bibs02c	-0.323	0.0
BL6	0.32	0.69
BL6a	0.034	0.469
BXD01	0.375	0.193
BXD010	0.673	0.456
BXD011	0.437	0.591
BXD03	0.139	-0.234
BXD04	0.513	-0.139
BXD05	0.602	0.28
BXD06	0.538	0.541
BXD07	0.798	0.643
BXD08	0.636	0.952
BXD09	0.796	1.115
CAST	0.237	0.27
CCcont	0.368	0.588
DS01	0.522	0.69
DS02	0.337	0.605
DS04	0.587	-0.419
DS0c	0.218	-0.614
GP01	-0.057	0.147
GP02	1.255	1.022
GP0c	0.015	-0.429
NOD	0.14	0.298
NZO	0.501	0.834
PWK	1.816	0.068
H37Rv_KO_CtpC	0.408	0.165
H37Rv_KO_CtpD	0.09	0.499
H37Rv_KO_Rv1272	0.816	0.097
H37Rv_KO_SugABC	0.092	0.673
H37Rv_KO_MbtN	1.48	-0.316
Trans05	0.447	0.515
macrophage_unactivated	1.556	0.622
IL1	0.691	0.35
Rapamycin	0.307	0.052
Tcell	0.531	-0.482
GMCSF	0.898	-0.29
IFNab	0.674	0.051
IFNg	1.152	0.567
IFNg_GMCSF1	-0.198	-0.465
Rv1432_day32	-0.047	0.231
Rv1565c_day32	0.1	-0.106
secA2_input	0.85	0.277
delta_Rv3594	0.314	0.34
delta_Rv3717	0.418	-0.468
delta_Rv3811	0.433	-1.184
delta_Rv0954	0.611	-0.028
PonA1	-0.312	0.299
EccD1_KO	-0.595	-0.164
EspI_KO	-0.59	-0.682
PE35_KO	-0.75	0.14
PPE68_KO	-0.461	0.304
glycerol2	0.768	1.481
lignocerate	1.102	2.191
oleate	0.034	-0.084
phosphatidylcholine	0.707	1.867
acetate	1.167	2.364
glucAc	1.005	2.339
Rv0950ko	0.247	0.066
Rv1096ko	-0.187	0.383
Rv3684ko	0.147	-0.789
delta_otsA_trehalose	-1.231	-2.033