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 Rv0191/-:

update plot	correlation	link to info on gene
Rv2258c/-	(cc=0.5227)	info on Rv2258c/-
Rv1220c/-	(cc=0.5206)	info on Rv1220c/-
Rv0135c/-	(cc=0.5195)	info on Rv0135c/-
Rv3899c/-	(cc=0.5069)	info on Rv3899c/-
Rv2463/lipP	(cc=0.5007)	info on Rv2463/lipP
Rv0069c/sdaA	(cc=0.4888)	info on Rv0069c/sdaA
Rv2170/-	(cc=0.4773)	info on Rv2170/-
Rv0465c/-	(cc=0.4656)	info on Rv0465c/-
Rv2563/-	(cc=0.465)	info on Rv2563/-
Rv0296c/-	(cc=0.4511)	info on Rv0296c/-

Correlation of Rv0191/- with Rv2258c/-

Normalized LFCs for Rv0191/-:
(description and provenance of datasets)

	Rv0191/-	Rv2258c/-
Fe_supp_jason_reseq	0.48	0.57
low_pH_jason_reseq	-1.313	-0.47
NO_jason_reseq	-1.362	-0.564
B6_jason_reseq	-1.484	-1.085
MHCII_jason_reseq	-1.225	0.032
Isoniazid02	-1.029	0.607
Rifampicin4	-1.568	-0.097
Ethambutol3	1.73	1.936
Meropenem3	-0.769	1.325
Vancomycin16	1.167	-0.233
Rv2680_day32	-0.286	-0.169
H37Rv_KO_MarP	0.15	0.711
hypoxia_3wks	-1.053	-1.782
hypoxia_6wks	-1.28	-1.255
glycerol	1.463	1.934
cholesterol	1.456	1.239
AJ	-0.6	-0.435
Bibs02	0.457	0.026
Bibs02c	0.024	-0.741
BL6	-0.386	-0.521
BL6a	-0.561	-0.934
BXD01	-0.758	-1.145
BXD010	-0.325	0.009
BXD011	-0.691	-0.869
BXD03	-0.272	-0.079
BXD04	-0.632	-0.95
BXD05	-0.688	-1.205
BXD06	-0.658	-0.839
BXD07	-0.441	-1.127
BXD08	-0.688	-0.854
BXD09	-0.71	-1.235
CAST	-1.178	-0.574
CCcont	0.227	0.411
DS01	-0.565	0.21
DS02	0.057	0.67
DS04	-0.492	-1.026
DS0c	-0.57	-0.195
GP01	-0.715	-1.126
GP02	-0.033	-0.185
GP0c	-0.232	-0.461
NOD	-0.859	-1.033
NZO	-1.069	-0.629
PWK	-0.74	-0.561
H37Rv_KO_CtpC	-0.427	-0.184
H37Rv_KO_CtpD	0.818	0.728
H37Rv_KO_Rv1272	0.074	-0.486
H37Rv_KO_SugABC	0.044	0.738
H37Rv_KO_MbtN	-0.024	0.267
Trans05	0.04	0.256
macrophage_unactivated	0.167	-0.155
IL1	0.11	-0.919
Rapamycin	0.273	-0.23
Tcell	0.205	0.039
GMCSF	-0.071	0.095
IFNab	0.65	-0.227
IFNg	-0.508	-1.208
IFNg_GMCSF1	0.374	-1.166
Rv1432_day32	-0.896	-0.347
Rv1565c_day32	0.954	0.687
secA2_input	1.121	-0.855
delta_Rv3594	-0.006	-0.439
delta_Rv3717	-0.318	-0.49
delta_Rv3811	0.03	-0.782
delta_Rv0954	0.194	1.698
PonA1	0.1	1.34
EccD1_KO	-0.546	0.181
EspI_KO	-0.103	0.342
PE35_KO	-0.484	0.548
PPE68_KO	-0.518	0.547
glycerol2	0.3	0.258
lignocerate	-0.203	0.371
oleate	-0.347	0.099
phosphatidylcholine	-0.42	0.126
acetate	-0.175	0.321
glucAc	-0.391	0.416
Rv0950ko	0.268	0.865
Rv1096ko	-0.262	0.639
Rv3684ko	-0.495	-0.046
delta_otsA_trehalose	-0.195	0.374