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 Rv2994/-:

update plot	correlation	link to info on gene
Rv1318c/-	(cc=0.5048)	info on Rv1318c/-
Rv2701c/suhB	(cc=0.4907)	info on Rv2701c/suhB
Rv0036c/-	(cc=0.4744)	info on Rv0036c/-
Rv2771c/-	(cc=0.471)	info on Rv2771c/-
Rv3714c/-	(cc=0.4678)	info on Rv3714c/-
Rv3444c/esxT	(cc=0.4664)	info on Rv3444c/esxT
Rv3733c/-	(cc=0.4664)	info on Rv3733c/-
Rv2319c/-	(cc=0.4652)	info on Rv2319c/-
Rv0372c/-	(cc=0.464)	info on Rv0372c/-
Rv0395/-	(cc=0.4579)	info on Rv0395/-

Correlation of Rv2994/- with Rv0372c/-

Normalized LFCs for Rv2994/-:
(description and provenance of datasets)

	Rv2994/-	Rv0372c/-
Fe_supp_jason_reseq	-0.358	0.474
low_pH_jason_reseq	-0.865	-3.001
NO_jason_reseq	-0.074	-1.289
B6_jason_reseq	0.503	-0.503
MHCII_jason_reseq	0.585	0.026
Isoniazid02	0.192	-0.077
Rifampicin4	0.72	0.092
Ethambutol3	0.413	0.041
Meropenem3	0.207	0.02
Vancomycin16	0.531	-0.188
Rv2680_day32	-0.56	-1.003
H37Rv_KO_MarP	0.099	-0.052
hypoxia_3wks	0.335	1.675
hypoxia_6wks	0.695	0.758
glycerol	-0.278	0.772
cholesterol	-0.106	-0.153
AJ	0.131	0.18
Bibs02	-0.012	1.211
Bibs02c	0.45	-1.516
BL6	0.603	0.642
BL6a	0.363	-0.941
BXD01	-0.321	0.669
BXD010	-0.158	-0.981
BXD011	0.293	-0.106
BXD03	-0.026	-0.643
BXD04	-0.42	0.048
BXD05	0.398	-0.142
BXD06	0.009	-0.401
BXD07	0.144	0.0
BXD08	0.222	0.909
BXD09	-0.009	-0.541
CAST	0.143	1.32
CCcont	-0.494	0.3
DS01	0.419	0.435
DS02	-0.284	0.362
DS04	-0.142	0.29
DS0c	0.5	1.167
GP01	0.516	0.113
GP02	0.412	0.11
GP0c	-0.141	-0.703
NOD	0.208	0.859
NZO	-0.16	0.332
PWK	0.182	-0.04
H37Rv_KO_CtpC	-0.064	-2.637
H37Rv_KO_CtpD	-0.251	1.512
H37Rv_KO_Rv1272	-0.968	-2.289
H37Rv_KO_SugABC	1.032	-1.358
H37Rv_KO_MbtN	-1.404	-1.673
Trans05	-0.209	0.482
macrophage_unactivated	-0.445	0.278
IL1	-0.047	1.723
Rapamycin	-0.457	1.332
Tcell	-0.782	-3.216
GMCSF	0.821	1.069
IFNab	-0.221	0.193
IFNg	-0.353	1.109
IFNg_GMCSF1	-0.415	1.515
Rv1432_day32	1.036	0.0
Rv1565c_day32	0.294	0.0
secA2_input	0.614	0.266
delta_Rv3594	0.167	-0.895
delta_Rv3717	0.118	-0.571
delta_Rv3811	-0.123	-1.261
delta_Rv0954	-0.021	-0.43
PonA1	-0.575	0.398
EccD1_KO	-0.109	0.414
EspI_KO	0.046	0.288
PE35_KO	-0.61	-0.487
PPE68_KO	-0.106	0.166
glycerol2	-0.626	-1.69
lignocerate	-0.772	-2.412
oleate	-0.4	-1.588
phosphatidylcholine	-0.437	-1.658
acetate	-0.874	-2.733
glucAc	-1.191	-2.796
Rv0950ko	0.048	0.434
Rv1096ko	0.832	4.032
Rv3684ko	0.452	2.463
delta_otsA_trehalose	1.026	0.0