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 Rv1552/frdA:

update plot	correlation	link to info on gene
Rv1490/-	(cc=0.5088)	info on Rv1490/-
Rv1800/PPE28	(cc=0.5017)	info on Rv1800/PPE28
Rv2435c/-	(cc=0.4911)	info on Rv2435c/-
Rv1962A/vapB35	(cc=0.487)	info on Rv1962A/vapB35
Rv1582c/-	(cc=0.4687)	info on Rv1582c/-
Rv1324/-	(cc=0.4686)	info on Rv1324/-
Rv3588c/canB	(cc=0.4661)	info on Rv3588c/canB
Rv3902c/-	(cc=0.4652)	info on Rv3902c/-
Rv3410c/guaB3	(cc=0.4641)	info on Rv3410c/guaB3
Rv1944c/-	(cc=0.4636)	info on Rv1944c/-

Correlation of Rv1552/frdA with Rv1490/-

Normalized LFCs for Rv1552/frdA:
(description and provenance of datasets)

	Rv1552/frdA	Rv1490/-
Fe_supp_jason_reseq	-0.283	-0.101
low_pH_jason_reseq	0.679	-0.683
NO_jason_reseq	0.097	0.465
B6_jason_reseq	-0.246	-1.181
MHCII_jason_reseq	-0.375	-1.175
Isoniazid02	1.394	-0.084
Rifampicin4	0.057	0.149
Ethambutol3	1.083	0.996
Meropenem3	-0.103	0.393
Vancomycin16	0.162	0.289
Rv2680_day32	0.071	-0.698
H37Rv_KO_MarP	0.275	0.395
hypoxia_3wks	0.638	-0.315
hypoxia_6wks	0.255	0.585
glycerol	0.0	-0.481
cholesterol	0.219	0.473
AJ	1.106	1.42
Bibs02	0.474	-0.04
Bibs02c	0.196	-0.045
BL6	0.225	0.0
BL6a	0.244	0.617
BXD01	0.252	-0.057
BXD010	0.379	0.738
BXD011	0.229	1.002
BXD03	-0.349	0.111
BXD04	-0.345	1.057
BXD05	0.106	0.561
BXD06	-0.067	0.649
BXD07	0.526	0.496
BXD08	0.239	0.732
BXD09	0.252	0.843
CAST	0.0	0.681
CCcont	0.048	0.465
DS01	-0.2	0.286
DS02	-0.852	0.091
DS04	-0.032	0.541
DS0c	-0.427	-0.295
GP01	0.577	0.426
GP02	0.216	-0.585
GP0c	0.369	0.342
NOD	1.185	2.807
NZO	0.889	0.773
PWK	0.405	0.899
H37Rv_KO_CtpC	0.824	-0.071
H37Rv_KO_CtpD	1.188	1.229
H37Rv_KO_Rv1272	1.044	1.771
H37Rv_KO_SugABC	0.293	1.218
H37Rv_KO_MbtN	0.491	0.851
Trans05	0.701	1.129
macrophage_unactivated	0.268	-0.066
IL1	0.605	0.469
Rapamycin	0.196	-0.402
Tcell	0.538	-0.068
GMCSF	-0.058	-0.533
IFNab	-0.417	-0.538
IFNg	-0.305	-0.056
IFNg_GMCSF1	0.267	-0.484
Rv1432_day32	0.121	0.033
Rv1565c_day32	0.065	-0.269
secA2_input	-0.269	-0.823
delta_Rv3594	0.358	0.194
delta_Rv3717	-0.138	0.108
delta_Rv3811	0.402	0.391
delta_Rv0954	0.326	0.585
PonA1	-0.353	-0.339
EccD1_KO	0.122	-0.155
EspI_KO	0.787	-0.205
PE35_KO	0.939	0.198
PPE68_KO	1.078	0.691
glycerol2	0.0	0.156
lignocerate	-0.069	0.462
oleate	0.2	-0.457
phosphatidylcholine	0.126	0.466
acetate	0.03	0.397
glucAc	0.128	0.585
Rv0950ko	-0.326	0.066
Rv1096ko	-0.73	-0.875
Rv3684ko	-1.343	-0.694
delta_otsA_trehalose	0.031	-0.9