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 Rv3784/-:

update plot	correlation	link to info on gene
Rv3018c/PPE46	(cc=0.6375)	info on Rv3018c/PPE46
Rv0138/-	(cc=0.601)	info on Rv0138/-
Rv1917c/PPE34	(cc=0.5793)	info on Rv1917c/PPE34
Rv0686/-	(cc=0.5563)	info on Rv0686/-
Rv2958c/-	(cc=0.541)	info on Rv2958c/-
Rv3487c/lipF	(cc=0.5374)	info on Rv3487c/lipF
Rv2332/mez	(cc=0.5243)	info on Rv2332/mez
Rv0814c/sseC2	(cc=0.5213)	info on Rv0814c/sseC2
Rv2351c/plcA	(cc=0.5186)	info on Rv2351c/plcA
Rv1760/-	(cc=0.5178)	info on Rv1760/-

Correlation of Rv3784/- with Rv2332/mez

Normalized LFCs for Rv3784/-:
(description and provenance of datasets)

	Rv3784/-	Rv2332/mez
Fe_supp_jason_reseq	0.006	0.751
low_pH_jason_reseq	-0.898	-0.437
NO_jason_reseq	-0.21	-0.076
B6_jason_reseq	0.092	0.227
MHCII_jason_reseq	0.297	0.472
Isoniazid02	0.688	1.672
Rifampicin4	-0.138	0.181
Ethambutol3	1.0	0.955
Meropenem3	0.948	0.319
Vancomycin16	0.066	0.424
Rv2680_day32	0.337	0.305
H37Rv_KO_MarP	0.03	0.356
hypoxia_3wks	-0.04	0.363
hypoxia_6wks	0.092	0.0
glycerol	0.522	-0.806
cholesterol	0.186	-0.336
AJ	0.546	0.534
Bibs02	0.0	0.246
Bibs02c	0.588	0.091
BL6	0.22	-0.165
BL6a	0.455	-0.06
BXD01	0.05	-0.059
BXD010	0.168	-0.243
BXD011	0.112	0.103
BXD03	-0.091	-0.4
BXD04	0.291	0.25
BXD05	-0.244	-0.103
BXD06	0.22	-0.041
BXD07	-0.032	0.08
BXD08	0.132	-0.276
BXD09	0.236	0.225
CAST	0.506	0.557
CCcont	0.043	-0.365
DS01	0.185	0.046
DS02	0.495	-0.099
DS04	-0.07	0.423
DS0c	0.176	-0.179
GP01	0.273	-0.279
GP02	0.114	-0.658
GP0c	-0.022	-1.335
NOD	1.71	0.747
NZO	0.363	0.552
PWK	0.482	0.364
H37Rv_KO_CtpC	0.437	-0.16
H37Rv_KO_CtpD	0.656	0.103
H37Rv_KO_Rv1272	0.346	0.208
H37Rv_KO_SugABC	0.607	0.444
H37Rv_KO_MbtN	0.892	0.074
Trans05	0.842	0.874
macrophage_unactivated	0.413	-0.3
IL1	-0.51	-0.362
Rapamycin	0.077	-0.752
Tcell	-0.222	-0.609
GMCSF	-0.235	-0.752
IFNab	-0.187	-0.396
IFNg	0.094	-1.101
IFNg_GMCSF1	0.248	-0.927
Rv1432_day32	0.623	0.81
Rv1565c_day32	-0.316	0.376
secA2_input	-0.726	-0.794
delta_Rv3594	-0.494	-0.257
delta_Rv3717	-0.488	-0.614
delta_Rv3811	-0.175	-0.228
delta_Rv0954	-0.552	-0.497
PonA1	-0.545	0.433
EccD1_KO	-0.135	0.464
EspI_KO	0.225	0.707
PE35_KO	-0.152	0.368
PPE68_KO	-0.33	0.477
glycerol2	0.737	0.67
lignocerate	0.811	0.664
oleate	0.777	0.543
phosphatidylcholine	0.817	0.647
acetate	0.243	0.221
glucAc	0.267	0.187
Rv0950ko	0.166	-0.555
Rv1096ko	-0.621	-0.79
Rv3684ko	-0.606	-1.294
delta_otsA_trehalose	-0.267	-0.092