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 Rv3847/-

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

	Rv0576/-	Rv3847/-
Fe_supp_jason_reseq	-0.308	-1.283
low_pH_jason_reseq	-0.475	-1.673
NO_jason_reseq	-0.205	0.215
B6_jason_reseq	-1.345	-0.746
MHCII_jason_reseq	-0.823	-1.827
Isoniazid02	0.422	0.992
Rifampicin4	-0.292	0.138
Ethambutol3	0.311	0.615
Meropenem3	-0.374	0.35
Vancomycin16	0.082	-0.236
Rv2680_day32	0.725	1.596
H37Rv_KO_MarP	0.529	0.429
hypoxia_3wks	0.06	0.881
hypoxia_6wks	0.319	0.549
glycerol	-1.257	-1.113
cholesterol	0.345	-1.049
AJ	-0.062	0.881
Bibs02	0.494	-0.55
Bibs02c	-0.611	-1.153
BL6	-0.841	0.807
BL6a	0.319	0.933
BXD01	0.926	0.341
BXD010	0.953	0.433
BXD011	0.639	0.806
BXD03	-0.279	1.687
BXD04	0.42	0.864
BXD05	1.16	1.836
BXD06	1.095	0.948
BXD07	-0.037	1.003
BXD08	1.008	0.93
BXD09	0.57	1.398
CAST	-0.26	0.177
CCcont	0.223	0.465
DS01	-0.267	0.084
DS02	-0.878	0.457
DS04	1.067	0.288
DS0c	-0.379	0.745
GP01	0.511	3.22
GP02	2.078	0.901
GP0c	1.018	2.008
NOD	0.06	0.818
NZO	0.104	0.566
PWK	-0.193	1.09
H37Rv_KO_CtpC	0.405	1.546
H37Rv_KO_CtpD	0.656	0.631
H37Rv_KO_Rv1272	0.585	0.904
H37Rv_KO_SugABC	-0.99	1.28
H37Rv_KO_MbtN	0.013	0.178
Trans05	0.068	-0.525
macrophage_unactivated	0.388	-0.041
IL1	0.86	-0.495
Rapamycin	1.2	-0.04
Tcell	1.03	0.169
GMCSF	-0.084	0.124
IFNab	0.327	0.333
IFNg	0.329	0.858
IFNg_GMCSF1	0.198	0.839
Rv1432_day32	0.721	0.249
Rv1565c_day32	0.305	-0.112
secA2_input	-0.504	0.72
delta_Rv3594	0.919	-0.338
delta_Rv3717	-0.263	-1.266
delta_Rv3811	-0.81	-0.494
delta_Rv0954	0.102	0.274
PonA1	0.126	-0.753
EccD1_KO	-0.444	-0.21
EspI_KO	-0.208	-0.436
PE35_KO	0.283	-0.799
PPE68_KO	-0.234	-0.374
glycerol2	-1.138	-1.31
lignocerate	-1.622	-1.655
oleate	-0.322	-0.737
phosphatidylcholine	-0.958	-1.595
acetate	-1.012	-1.333
glucAc	-0.486	-0.941
Rv0950ko	0.09	0.44
Rv1096ko	0.709	0.754
Rv3684ko	0.77	0.377
delta_otsA_trehalose	-2.117	-0.837