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 Rv0567/-:

update plot	correlation	link to info on gene
Rv0327c/cyp135A1	(cc=0.5657)	info on Rv0327c/cyp135A1
Rv0794c/-	(cc=0.5311)	info on Rv0794c/-
Rv3777/-	(cc=0.4983)	info on Rv3777/-
Rv2998/-	(cc=0.4873)	info on Rv2998/-
Rv0024/-	(cc=0.481)	info on Rv0024/-
Rv2424c/-	(cc=0.4761)	info on Rv2424c/-
Rv3325/-	(cc=0.4685)	info on Rv3325/-
Rv1200/-	(cc=0.4522)	info on Rv1200/-
Rv2644c/-	(cc=0.4498)	info on Rv2644c/-
Rv2915c/-	(cc=0.4485)	info on Rv2915c/-

Correlation of Rv0567/- with Rv1200/-

Normalized LFCs for Rv0567/-:
(description and provenance of datasets)

	Rv0567/-	Rv1200/-
Fe_supp_jason_reseq	0.18	0.126
low_pH_jason_reseq	-0.55	-0.236
NO_jason_reseq	-0.347	0.097
B6_jason_reseq	0.591	0.573
MHCII_jason_reseq	0.752	1.227
Isoniazid02	0.033	-0.611
Rifampicin4	0.295	-0.233
Ethambutol3	0.338	-0.268
Meropenem3	-0.272	-0.289
Vancomycin16	-0.186	-0.769
Rv2680_day32	-1.09	-0.677
H37Rv_KO_MarP	0.19	-0.027
hypoxia_3wks	0.662	0.044
hypoxia_6wks	0.825	-0.058
glycerol	-0.358	-0.383
cholesterol	-0.516	-0.156
AJ	0.182	-0.084
Bibs02	0.629	0.51
Bibs02c	0.306	0.399
BL6	0.187	0.419
BL6a	0.227	0.284
BXD01	-0.481	0.021
BXD010	0.384	-0.324
BXD011	0.374	0.02
BXD03	0.128	0.093
BXD04	0.293	0.215
BXD05	-0.224	0.551
BXD06	0.142	-0.075
BXD07	0.017	0.237
BXD08	-0.184	0.087
BXD09	-0.043	-0.109
CAST	0.294	0.167
CCcont	-0.187	0.035
DS01	-0.022	0.512
DS02	0.115	0.436
DS04	-0.7	0.119
DS0c	0.68	0.663
GP01	0.528	-0.574
GP02	0.379	0.013
GP0c	-0.486	-0.199
NOD	0.404	0.33
NZO	0.364	0.501
PWK	0.266	0.128
H37Rv_KO_CtpC	-0.777	-0.293
H37Rv_KO_CtpD	-0.575	0.417
H37Rv_KO_Rv1272	-0.377	0.178
H37Rv_KO_SugABC	-0.344	0.479
H37Rv_KO_MbtN	-0.417	0.779
Trans05	-0.094	0.036
macrophage_unactivated	0.057	0.549
IL1	-0.558	0.018
Rapamycin	-0.528	-0.052
Tcell	-0.059	0.248
GMCSF	-0.246	0.42
IFNab	-0.475	0.23
IFNg	-0.11	0.233
IFNg_GMCSF1	-0.415	0.273
Rv1432_day32	0.169	0.216
Rv1565c_day32	-0.368	0.174
secA2_input	-0.094	0.106
delta_Rv3594	-1.037	-0.346
delta_Rv3717	-0.708	0.0
delta_Rv3811	-0.294	0.028
delta_Rv0954	-0.227	-0.292
PonA1	-0.464	-0.052
EccD1_KO	1.039	0.122
EspI_KO	0.761	0.334
PE35_KO	0.741	0.54
PPE68_KO	0.854	0.739
glycerol2	0.406	0.853
lignocerate	0.744	0.706
oleate	-0.4	0.44
phosphatidylcholine	0.459	0.926
acetate	0.359	0.426
glucAc	0.423	0.731
Rv0950ko	0.597	0.317
Rv1096ko	0.338	0.44
Rv3684ko	0.088	0.57
delta_otsA_trehalose	-0.88	-0.776