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 Rv1615/-:

update plot	correlation	link to info on gene
Rv3525c/-	(cc=0.4581)	info on Rv3525c/-
Rv2274c/mazF8	(cc=0.4461)	info on Rv2274c/mazF8
Rv1048c/-	(cc=0.4253)	info on Rv1048c/-
Rv2585c/-	(cc=0.4206)	info on Rv2585c/-
Rv0923c/-	(cc=0.4176)	info on Rv0923c/-
Rv2269c/-	(cc=0.396)	info on Rv2269c/-
Rv0826/-	(cc=0.395)	info on Rv0826/-
Rv2061c/-	(cc=0.3931)	info on Rv2061c/-
Rv1528c/papA4	(cc=0.3769)	info on Rv1528c/papA4
Rv2811/-	(cc=0.3754)	info on Rv2811/-

Correlation of Rv1615/- with Rv3525c/-

Normalized LFCs for Rv1615/-:
(description and provenance of datasets)

	Rv1615/-	Rv3525c/-
Fe_supp_jason_reseq	-3.429	-0.846
low_pH_jason_reseq	-1.571	-0.386
NO_jason_reseq	-0.732	-0.69
B6_jason_reseq	-0.432	-0.584
MHCII_jason_reseq	-0.675	-0.066
Isoniazid02	-1.809	-2.03
Rifampicin4	1.224	0.56
Ethambutol3	-0.737	-1.992
Meropenem3	-0.183	-2.554
Vancomycin16	-0.146	-0.915
Rv2680_day32	-0.463	1.002
H37Rv_KO_MarP	-1.29	1.054
hypoxia_3wks	0.0	0.566
hypoxia_6wks	-0.094	0.081
glycerol	-0.41	-0.012
cholesterol	-0.745	-0.776
AJ	0.123	0.066
Bibs02	1.048	0.584
Bibs02c	-0.452	-0.309
BL6	-0.689	-0.288
BL6a	-0.376	0.247
BXD01	0.395	-0.788
BXD010	-0.392	-0.314
BXD011	-0.929	-0.197
BXD03	0.185	0.133
BXD04	1.351	-0.605
BXD05	-0.122	0.323
BXD06	-0.051	-0.356
BXD07	-0.712	-0.169
BXD08	0.07	-0.752
BXD09	-0.626	-0.208
CAST	0.325	0.287
CCcont	-0.617	-0.982
DS01	-0.2	0.08
DS02	-0.603	-1.144
DS04	0.557	0.561
DS0c	-0.036	-1.021
GP01	-1.394	-1.589
GP02	-1.711	-1.539
GP0c	-1.479	-1.783
NOD	0.69	-0.093
NZO	0.301	-0.669
PWK	0.997	0.213
H37Rv_KO_CtpC	-0.864	-0.284
H37Rv_KO_CtpD	-2.051	-1.105
H37Rv_KO_Rv1272	-0.103	-0.589
H37Rv_KO_SugABC	-1.767	-1.767
H37Rv_KO_MbtN	0.555	0.654
Trans05	0.757	0.029
macrophage_unactivated	1.095	0.603
IL1	-0.326	-0.555
Rapamycin	-0.374	0.344
Tcell	-0.248	0.336
GMCSF	0.642	0.504
IFNab	-0.402	0.732
IFNg	-0.056	0.601
IFNg_GMCSF1	1.09	0.091
Rv1432_day32	1.197	-0.103
Rv1565c_day32	-0.136	-0.074
secA2_input	-0.7	-0.809
delta_Rv3594	0.0	0.127
delta_Rv3717	-0.112	-0.355
delta_Rv3811	-0.192	0.241
delta_Rv0954	-0.238	-0.298
PonA1	-0.763	-0.089
EccD1_KO	-0.724	0.309
EspI_KO	0.476	-1.569
PE35_KO	0.041	-0.236
PPE68_KO	0.253	-0.173
glycerol2	-0.747	-0.804
lignocerate	-1.068	-1.136
oleate	0.739	-0.405
phosphatidylcholine	-0.409	-0.606
acetate	-0.904	-1.298
glucAc	-1.654	-1.615
Rv0950ko	-0.787	0.09
Rv1096ko	-0.618	0.262
Rv3684ko	-0.495	-0.167
delta_otsA_trehalose	-0.773	-1.098