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 Rv0557/mgtA:

update plot	correlation	link to info on gene
Rv0375c/-	(cc=0.4927)	info on Rv0375c/-
Rv2384/mbtA	(cc=0.4529)	info on Rv2384/mbtA
Rv2998/-	(cc=0.4462)	info on Rv2998/-
Rv3636/-	(cc=0.4454)	info on Rv3636/-
Rv3334/-	(cc=0.4376)	info on Rv3334/-
Rv1060/-	(cc=0.4357)	info on Rv1060/-
Rv2484c/-	(cc=0.4303)	info on Rv2484c/-
Rv0869c/moaA2	(cc=0.4292)	info on Rv0869c/moaA2
Rv0274/-	(cc=0.4018)	info on Rv0274/-
Rv0044c/-	(cc=0.3889)	info on Rv0044c/-

Correlation of Rv0557/mgtA with Rv3334/-

Normalized LFCs for Rv0557/mgtA:
(description and provenance of datasets)

	Rv0557/mgtA	Rv3334/-
Fe_supp_jason_reseq	0.0	0.346
low_pH_jason_reseq	0.341	0.535
NO_jason_reseq	-0.488	0.202
B6_jason_reseq	0.532	0.019
MHCII_jason_reseq	-0.232	0.075
Isoniazid02	0.65	0.374
Rifampicin4	0.173	0.027
Ethambutol3	0.423	-0.161
Meropenem3	-0.254	0.134
Vancomycin16	1.313	0.345
Rv2680_day32	-2.937	-2.671
H37Rv_KO_MarP	0.94	1.031
hypoxia_3wks	0.207	0.762
hypoxia_6wks	-0.474	-0.443
glycerol	0.275	-1.295
cholesterol	0.478	-0.753
AJ	-0.237	0.254
Bibs02	-1.462	0.785
Bibs02c	-0.579	-0.809
BL6	0.58	-0.059
BL6a	-0.611	-0.057
BXD01	-0.065	0.115
BXD010	-0.315	0.309
BXD011	-0.571	0.325
BXD03	-0.606	0.038
BXD04	0.341	-0.014
BXD05	0.064	0.112
BXD06	-0.456	-0.272
BXD07	0.482	0.309
BXD08	0.093	-0.224
BXD09	-0.181	-0.19
CAST	0.881	0.556
CCcont	-0.785	-0.736
DS01	-0.371	0.548
DS02	0.432	-0.551
DS04	0.676	0.572
DS0c	0.152	0.074
GP01	-0.049	0.098
GP02	-0.916	0.074
GP0c	-0.489	-1.215
NOD	0.158	1.902
NZO	-0.552	0.25
PWK	-0.148	0.894
H37Rv_KO_CtpC	-0.611	-0.712
H37Rv_KO_CtpD	-1.689	-1.507
H37Rv_KO_Rv1272	1.105	0.268
H37Rv_KO_SugABC	-0.408	-0.624
H37Rv_KO_MbtN	-1.289	-0.181
Trans05	-1.862	0.516
macrophage_unactivated	1.405	-0.107
IL1	-0.641	-0.074
Rapamycin	0.577	0.681
Tcell	0.495	0.212
GMCSF	-0.333	0.771
IFNab	-0.248	0.29
IFNg	0.208	0.575
IFNg_GMCSF1	1.112	1.625
Rv1432_day32	0.0	-1.454
Rv1565c_day32	-0.381	1.042
secA2_input	-0.521	-1.586
delta_Rv3594	-1.75	0.514
delta_Rv3717	-0.941	0.49
delta_Rv3811	-1.029	0.416
delta_Rv0954	0.129	0.525
PonA1	-0.799	0.187
EccD1_KO	0.0	1.266
EspI_KO	0.55	1.169
PE35_KO	0.0	0.391
PPE68_KO	1.161	0.333
glycerol2	-0.311	-0.307
lignocerate	-1.161	-1.102
oleate	0.213	0.347
phosphatidylcholine	-0.391	1.318
acetate	-1.297	-1.77
glucAc	-2.417	-2.307
Rv0950ko	0.0	0.238
Rv1096ko	1.65	0.317
Rv3684ko	1.536	0.147
delta_otsA_trehalose	-0.807	1.149