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 Rv0576/-:

update plot	correlation	link to info on gene
Rv2695/-	(cc=0.5209)	info on Rv2695/-
Rv3847/-	(cc=0.5112)	info on Rv3847/-
Rv3050c/-	(cc=0.498)	info on Rv3050c/-
Rv1752/-	(cc=0.4943)	info on Rv1752/-
Rv3521/-	(cc=0.4913)	info on Rv3521/-
Rv0222/echA1	(cc=0.4889)	info on Rv0222/echA1
Rv2857c/-	(cc=0.4882)	info on Rv2857c/-
Rv3398c/idsA1	(cc=0.488)	info on Rv3398c/idsA1
Rv0647c/-	(cc=0.4856)	info on Rv0647c/-
Rv1128c/-	(cc=0.4766)	info on Rv1128c/-

Correlation of Rv0576/- with Rv2857c/-

Normalized LFCs for Rv0576/-:
(description and provenance of datasets)

	Rv0576/-	Rv2857c/-
Fe_supp_jason_reseq	-0.308	-0.051
low_pH_jason_reseq	-0.475	-0.408
NO_jason_reseq	-0.205	0.895
B6_jason_reseq	-1.345	-1.38
MHCII_jason_reseq	-0.823	-0.946
Isoniazid02	0.422	0.49
Rifampicin4	-0.292	-0.433
Ethambutol3	0.311	-0.095
Meropenem3	-0.374	0.0
Vancomycin16	0.082	0.562
Rv2680_day32	0.725	-0.238
H37Rv_KO_MarP	0.529	1.827
hypoxia_3wks	0.06	1.204
hypoxia_6wks	0.319	1.806
glycerol	-1.257	0.069
cholesterol	0.345	-0.54
AJ	-0.062	-0.255
Bibs02	0.494	-2.099
Bibs02c	-0.611	-0.677
BL6	-0.841	1.181
BL6a	0.319	0.595
BXD01	0.926	0.723
BXD010	0.953	1.153
BXD011	0.639	0.416
BXD03	-0.279	-0.438
BXD04	0.42	1.235
BXD05	1.16	1.621
BXD06	1.095	1.652
BXD07	-0.037	0.619
BXD08	1.008	1.217
BXD09	0.57	0.628
CAST	-0.26	-1.513
CCcont	0.223	0.766
DS01	-0.267	-0.45
DS02	-0.878	-0.239
DS04	1.067	-1.151
DS0c	-0.379	-1.287
GP01	0.511	0.814
GP02	2.078	1.858
GP0c	1.018	0.919
NOD	0.06	-0.838
NZO	0.104	0.068
PWK	-0.193	-0.374
H37Rv_KO_CtpC	0.405	0.309
H37Rv_KO_CtpD	0.656	0.507
H37Rv_KO_Rv1272	0.585	0.424
H37Rv_KO_SugABC	-0.99	-0.949
H37Rv_KO_MbtN	0.013	1.554
Trans05	0.068	0.554
macrophage_unactivated	0.388	0.783
IL1	0.86	1.083
Rapamycin	1.2	0.215
Tcell	1.03	-0.059
GMCSF	-0.084	0.85
IFNab	0.327	1.016
IFNg	0.329	0.783
IFNg_GMCSF1	0.198	0.22
Rv1432_day32	0.721	-0.648
Rv1565c_day32	0.305	-0.13
secA2_input	-0.504	-0.576
delta_Rv3594	0.919	0.064
delta_Rv3717	-0.263	-0.522
delta_Rv3811	-0.81	-0.983
delta_Rv0954	0.102	-0.854
PonA1	0.126	-1.308
EccD1_KO	-0.444	0.444
EspI_KO	-0.208	-0.208
PE35_KO	0.283	0.268
PPE68_KO	-0.234	-0.65
glycerol2	-1.138	0.259
lignocerate	-1.622	-0.85
oleate	-0.322	0.213
phosphatidylcholine	-0.958	-0.396
acetate	-1.012	-0.723
glucAc	-0.486	-1.598
Rv0950ko	0.09	1.155
Rv1096ko	0.709	2.126
Rv3684ko	0.77	0.668
delta_otsA_trehalose	-2.117	-0.367