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 Rv2767c/-:

update plot	correlation	link to info on gene
Rv0231/fadE4	(cc=0.4735)	info on Rv0231/fadE4
Rv3189/-	(cc=0.452)	info on Rv3189/-
Rv1050/-	(cc=0.4485)	info on Rv1050/-
Rv1709/scpA	(cc=0.4461)	info on Rv1709/scpA
Rv2807/-	(cc=0.4358)	info on Rv2807/-
Rv0073/-	(cc=0.4331)	info on Rv0073/-
Rv1261c/-	(cc=0.4257)	info on Rv1261c/-
Rv1419/-	(cc=0.4203)	info on Rv1419/-
Rv3070/-	(cc=0.4193)	info on Rv3070/-
Rv1365c/rsfA	(cc=0.4124)	info on Rv1365c/rsfA

Correlation of Rv2767c/- with Rv1365c/rsfA

Normalized LFCs for Rv2767c/-:
(description and provenance of datasets)

	Rv2767c/-	Rv1365c/rsfA
Fe_supp_jason_reseq	0.453	0.415
low_pH_jason_reseq	-0.731	-0.022
NO_jason_reseq	-0.302	-1.57
B6_jason_reseq	-0.164	0.269
MHCII_jason_reseq	0.028	-0.315
Isoniazid02	-0.573	-0.968
Rifampicin4	-1.384	0.623
Ethambutol3	-1.338	-0.809
Meropenem3	-1.438	-0.996
Vancomycin16	-1.228	-0.422
Rv2680_day32	1.591	0.526
H37Rv_KO_MarP	0.683	0.474
hypoxia_3wks	-0.136	0.562
hypoxia_6wks	-0.89	0.173
glycerol	-0.769	0.492
cholesterol	-0.311	0.559
AJ	0.072	-0.583
Bibs02	-0.23	0.546
Bibs02c	1.449	2.099
BL6	0.825	1.781
BL6a	1.465	1.759
BXD01	-0.782	0.977
BXD010	0.862	1.214
BXD011	0.391	1.783
BXD03	0.458	0.909
BXD04	0.09	1.551
BXD05	0.533	0.982
BXD06	0.238	1.132
BXD07	0.601	1.649
BXD08	0.009	1.453
BXD09	0.391	1.469
CAST	-0.195	0.522
CCcont	0.018	0.434
DS01	0.332	0.944
DS02	0.488	1.705
DS04	-0.062	2.689
DS0c	0.888	0.211
GP01	0.77	-1.344
GP02	0.271	0.189
GP0c	-0.427	-1.286
NOD	0.215	-0.291
NZO	0.428	-0.449
PWK	0.084	-0.651
H37Rv_KO_CtpC	0.685	0.672
H37Rv_KO_CtpD	0.523	-0.351
H37Rv_KO_Rv1272	0.534	-0.183
H37Rv_KO_SugABC	-1.813	-1.06
H37Rv_KO_MbtN	-0.631	0.164
Trans05	0.484	0.138
macrophage_unactivated	-0.455	1.367
IL1	0.543	0.786
Rapamycin	0.654	0.859
Tcell	0.218	0.459
GMCSF	0.85	0.987
IFNab	0.381	1.061
IFNg	0.898	0.588
IFNg_GMCSF1	0.361	1.832
Rv1432_day32	0.51	0.591
Rv1565c_day32	0.24	-0.286
secA2_input	-0.302	0.221
delta_Rv3594	-0.277	0.422
delta_Rv3717	-0.327	0.581
delta_Rv3811	-0.694	0.714
delta_Rv0954	0.58	0.778
PonA1	0.185	0.779
EccD1_KO	1.223	0.842
EspI_KO	1.417	-0.297
PE35_KO	0.411	0.254
PPE68_KO	0.125	0.966
glycerol2	-0.835	-1.079
lignocerate	-0.432	-1.143
oleate	-0.543	-0.034
phosphatidylcholine	-0.618	-0.57
acetate	-0.308	-1.44
glucAc	-0.141	-1.679
Rv0950ko	-0.265	-2.035
Rv1096ko	0.229	-0.44
Rv3684ko	0.531	-0.203
delta_otsA_trehalose	-0.204	0.0