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 Rv1991A/mazE6:

update plot	correlation	link to info on gene
Rv1565c/-	(cc=0.5028)	info on Rv1565c/-
Rv3875/esxA	(cc=0.4993)	info on Rv3875/esxA
Rv1583c/-	(cc=0.4939)	info on Rv1583c/-
Rv0489/gpm1	(cc=0.4938)	info on Rv0489/gpm1
Rv2960c/-	(cc=0.4619)	info on Rv2960c/-
Rv1498A/-	(cc=0.4498)	info on Rv1498A/-
Rv2680/-	(cc=0.447)	info on Rv2680/-
Rv2374c/hrcA	(cc=0.445)	info on Rv2374c/hrcA
Rv1561/vapC11	(cc=0.4388)	info on Rv1561/vapC11
Rv1896c/-	(cc=0.4329)	info on Rv1896c/-

Correlation of Rv1991A/mazE6 with Rv2960c/-

Normalized LFCs for Rv1991A/mazE6:
(description and provenance of datasets)

	Rv1991A/mazE6	Rv2960c/-
Fe_supp_jason_reseq	3.195	1.135
low_pH_jason_reseq	0.694	-1.29
NO_jason_reseq	-0.541	-0.756
B6_jason_reseq	-0.111	1.024
MHCII_jason_reseq	-0.572	0.959
Isoniazid02	0.314	-0.287
Rifampicin4	0.69	0.084
Ethambutol3	2.83	1.799
Meropenem3	0.756	-0.775
Vancomycin16	0.626	-0.276
Rv2680_day32	0.393	1.608
H37Rv_KO_MarP	-0.744	-1.116
hypoxia_3wks	-0.486	-0.048
hypoxia_6wks	-0.839	-1.029
glycerol	0.709	-0.835
cholesterol	-0.159	-0.459
AJ	-1.044	-0.55
Bibs02	-0.823	-1.057
Bibs02c	-0.112	0.929
BL6	1.907	0.902
BL6a	0.839	0.656
BXD01	0.506	0.378
BXD010	1.024	-0.228
BXD011	1.548	0.649
BXD03	0.831	0.612
BXD04	0.063	0.777
BXD05	0.57	0.767
BXD06	0.82	-0.144
BXD07	0.434	0.97
BXD08	0.856	0.666
BXD09	0.822	0.493
CAST	-0.859	-0.145
CCcont	1.741	1.087
DS01	1.16	0.033
DS02	-1.161	-0.709
DS04	1.015	0.708
DS0c	-0.976	0.225
GP01	0.925	0.039
GP02	0.511	0.907
GP0c	2.692	-0.082
NOD	1.103	0.799
NZO	-0.744	-1.351
PWK	0.196	-0.182
H37Rv_KO_CtpC	0.998	0.692
H37Rv_KO_CtpD	1.213	0.59
H37Rv_KO_Rv1272	-0.424	1.133
H37Rv_KO_SugABC	1.602	1.602
H37Rv_KO_MbtN	0.965	-0.726
Trans05	1.43	-0.181
macrophage_unactivated	-1.846	0.521
IL1	0.0	0.119
Rapamycin	0.227	-0.574
Tcell	-0.43	0.215
GMCSF	0.259	0.325
IFNab	-1.031	-0.166
IFNg	0.0	0.409
IFNg_GMCSF1	0.732	1.002
Rv1432_day32	0.0	0.3
Rv1565c_day32	0.0	0.444
secA2_input	-2.195	-1.262
delta_Rv3594	0.895	0.541
delta_Rv3717	0.429	0.573
delta_Rv3811	0.617	0.677
delta_Rv0954	2.719	1.623
PonA1	-1.829	0.502
EccD1_KO	0.483	1.48
EspI_KO	-0.81	0.582
PE35_KO	-0.23	0.755
PPE68_KO	2.24	0.998
glycerol2	1.09	1.892
lignocerate	0.235	2.72
oleate	-1.517	-0.829
phosphatidylcholine	0.508	1.982
acetate	1.774	2.555
glucAc	1.515	2.555
Rv0950ko	0.072	-1.025
Rv1096ko	-0.793	0.332
Rv3684ko	-0.327	-0.108
delta_otsA_trehalose	0.369	0.347