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 Rv1709/scpA

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

	Rv2767c/-	Rv1709/scpA
Fe_supp_jason_reseq	0.453	-0.865
low_pH_jason_reseq	-0.731	-0.718
NO_jason_reseq	-0.302	1.019
B6_jason_reseq	-0.164	0.047
MHCII_jason_reseq	0.028	-0.021
Isoniazid02	-0.573	-1.224
Rifampicin4	-1.384	-0.544
Ethambutol3	-1.338	-1.285
Meropenem3	-1.438	0.486
Vancomycin16	-1.228	-2.141
Rv2680_day32	1.591	-0.462
H37Rv_KO_MarP	0.683	-0.696
hypoxia_3wks	-0.136	-0.542
hypoxia_6wks	-0.89	0.067
glycerol	-0.769	-0.484
cholesterol	-0.311	0.426
AJ	0.072	0.499
Bibs02	-0.23	-0.22
Bibs02c	1.449	1.047
BL6	0.825	0.693
BL6a	1.465	1.28
BXD01	-0.782	0.546
BXD010	0.862	1.171
BXD011	0.391	0.657
BXD03	0.458	0.176
BXD04	0.09	0.739
BXD05	0.533	0.641
BXD06	0.238	0.844
BXD07	0.601	0.484
BXD08	0.009	0.592
BXD09	0.391	0.703
CAST	-0.195	0.085
CCcont	0.018	0.055
DS01	0.332	0.604
DS02	0.488	-0.055
DS04	-0.062	0.398
DS0c	0.888	1.281
GP01	0.77	0.252
GP02	0.271	-0.572
GP0c	-0.427	0.239
NOD	0.215	0.164
NZO	0.428	-1.016
PWK	0.084	1.101
H37Rv_KO_CtpC	0.685	1.333
H37Rv_KO_CtpD	0.523	1.511
H37Rv_KO_Rv1272	0.534	0.592
H37Rv_KO_SugABC	-1.813	-0.302
H37Rv_KO_MbtN	-0.631	-0.814
Trans05	0.484	0.905
macrophage_unactivated	-0.455	-0.691
IL1	0.543	-0.24
Rapamycin	0.654	-1.007
Tcell	0.218	-0.505
GMCSF	0.85	0.528
IFNab	0.381	-0.741
IFNg	0.898	0.176
IFNg_GMCSF1	0.361	-1.119
Rv1432_day32	0.51	-1.64
Rv1565c_day32	0.24	1.041
secA2_input	-0.302	0.366
delta_Rv3594	-0.277	-0.268
delta_Rv3717	-0.327	0.44
delta_Rv3811	-0.694	-0.135
delta_Rv0954	0.58	-1.833
PonA1	0.185	0.443
EccD1_KO	1.223	1.01
EspI_KO	1.417	1.928
PE35_KO	0.411	0.753
PPE68_KO	0.125	0.454
glycerol2	-0.835	-1.681
lignocerate	-0.432	-2.151
oleate	-0.543	-1.701
phosphatidylcholine	-0.618	-2.105
acetate	-0.308	-1.132
glucAc	-0.141	-1.767
Rv0950ko	-0.265	-0.368
Rv1096ko	0.229	1.013
Rv3684ko	0.531	0.789
delta_otsA_trehalose	-0.204	-1.327