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 Rv2286c/-:

update plot	correlation	link to info on gene
Rv1662/pks8	(cc=0.5405)	info on Rv1662/pks8
Rv1964/yrbE3A	(cc=0.4348)	info on Rv1964/yrbE3A
Rv3070/-	(cc=0.4133)	info on Rv3070/-
Rv1076/lipU	(cc=0.4132)	info on Rv1076/lipU
Rv0346c/ansP2	(cc=0.4094)	info on Rv0346c/ansP2
Rv2767c/-	(cc=0.4075)	info on Rv2767c/-
Rv1557/mmpL6	(cc=0.4048)	info on Rv1557/mmpL6
Rv1980c/mpt64	(cc=0.4005)	info on Rv1980c/mpt64
Rv2558/-	(cc=0.3882)	info on Rv2558/-
Rv2231c/cobC	(cc=0.3881)	info on Rv2231c/cobC

Correlation of Rv2286c/- with Rv3070/-

Normalized LFCs for Rv2286c/-:
(description and provenance of datasets)

	Rv2286c/-	Rv3070/-
Fe_supp_jason_reseq	-0.799	-0.529
low_pH_jason_reseq	-0.052	-0.878
NO_jason_reseq	-0.081	-0.494
B6_jason_reseq	-0.688	-1.15
MHCII_jason_reseq	-0.484	-0.669
Isoniazid02	-0.054	-0.035
Rifampicin4	-1.007	-0.996
Ethambutol3	-0.584	-0.524
Meropenem3	-0.435	-0.422
Vancomycin16	-0.138	-0.369
Rv2680_day32	0.898	0.899
H37Rv_KO_MarP	-0.246	0.233
hypoxia_3wks	0.096	-0.088
hypoxia_6wks	0.198	0.28
glycerol	-0.908	-0.788
cholesterol	-1.314	-0.981
AJ	0.382	1.077
Bibs02	1.003	0.838
Bibs02c	-0.182	1.085
BL6	1.322	0.327
BL6a	0.234	1.378
BXD01	-0.07	0.993
BXD010	0.431	0.792
BXD011	0.243	0.285
BXD03	0.326	1.018
BXD04	0.063	0.43
BXD05	0.042	0.237
BXD06	0.17	1.196
BXD07	0.558	0.75
BXD08	0.013	0.944
BXD09	0.699	0.991
CAST	-0.307	0.586
CCcont	0.219	1.06
DS01	-0.287	-0.068
DS02	-0.397	0.469
DS04	-0.61	1.018
DS0c	0.432	0.273
GP01	1.435	-0.706
GP02	-0.52	-1.474
GP0c	0.092	-0.117
NOD	0.023	1.015
NZO	0.432	-0.724
PWK	1.304	0.735
H37Rv_KO_CtpC	1.458	0.934
H37Rv_KO_CtpD	1.137	0.44
H37Rv_KO_Rv1272	0.954	0.637
H37Rv_KO_SugABC	-1.775	-1.705
H37Rv_KO_MbtN	0.657	-1.164
Trans05	1.095	0.445
macrophage_unactivated	0.672	0.726
IL1	0.519	0.771
Rapamycin	0.654	0.393
Tcell	0.57	0.626
GMCSF	0.251	0.317
IFNab	0.227	0.212
IFNg	0.086	0.831
IFNg_GMCSF1	1.2	1.241
Rv1432_day32	0.327	-0.257
Rv1565c_day32	-0.493	0.12
secA2_input	0.186	-0.177
delta_Rv3594	0.959	1.054
delta_Rv3717	0.174	-1.258
delta_Rv3811	1.038	0.043
delta_Rv0954	1.001	0.89
PonA1	0.613	0.177
EccD1_KO	0.431	-0.082
EspI_KO	0.399	-0.736
PE35_KO	-0.117	1.138
PPE68_KO	0.243	0.08
glycerol2	0.311	0.342
lignocerate	-0.017	0.485
oleate	0.465	0.116
phosphatidylcholine	0.311	0.312
acetate	0.224	0.146
glucAc	1.153	0.102
Rv0950ko	-0.739	0.709
Rv1096ko	0.884	1.173
Rv3684ko	-0.18	2.227
delta_otsA_trehalose	0.648	0.049