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 Rv0605/-:

update plot	correlation	link to info on gene
Rv3292/-	(cc=0.5317)	info on Rv3292/-
Rv2756c/hsdM	(cc=0.5198)	info on Rv2756c/hsdM
Rv1175c/fadH	(cc=0.488)	info on Rv1175c/fadH
Rv2634c/PE_PGRS46	(cc=0.483)	info on Rv2634c/PE_PGRS46
Rv1000c/-	(cc=0.4686)	info on Rv1000c/-
Rv2310/-	(cc=0.4612)	info on Rv2310/-
Rv2240c/-	(cc=0.4571)	info on Rv2240c/-
Rv3138/pflA	(cc=0.4519)	info on Rv3138/pflA
Rv1200/-	(cc=0.4481)	info on Rv1200/-
Rv0441c/-	(cc=0.443)	info on Rv0441c/-

Correlation of Rv0605/- with Rv3292/-

Normalized LFCs for Rv0605/-:
(description and provenance of datasets)

	Rv0605/-	Rv3292/-
Fe_supp_jason_reseq	-0.995	-0.412
low_pH_jason_reseq	-0.028	-0.343
NO_jason_reseq	-0.215	0.213
B6_jason_reseq	-0.115	0.563
MHCII_jason_reseq	0.297	-0.023
Isoniazid02	-0.274	0.872
Rifampicin4	0.195	0.23
Ethambutol3	-0.371	0.409
Meropenem3	-0.589	0.229
Vancomycin16	-0.119	0.608
Rv2680_day32	-0.777	0.055
H37Rv_KO_MarP	0.391	0.861
hypoxia_3wks	-0.159	-0.534
hypoxia_6wks	-0.478	-0.522
glycerol	0.127	0.913
cholesterol	0.526	0.668
AJ	-0.207	0.035
Bibs02	-0.038	-0.087
Bibs02c	0.708	0.529
BL6	0.372	1.039
BL6a	0.194	0.191
BXD01	0.018	0.153
BXD010	-0.298	-0.04
BXD011	1.443	-0.146
BXD03	0.08	0.24
BXD04	-0.205	-0.174
BXD05	0.244	0.357
BXD06	0.109	0.129
BXD07	0.549	0.237
BXD08	0.241	-0.052
BXD09	0.128	-0.055
CAST	-0.319	-0.47
CCcont	0.223	0.369
DS01	-0.099	-0.055
DS02	0.117	0.285
DS04	-0.115	0.408
DS0c	0.165	0.536
GP01	0.185	0.926
GP02	0.345	0.467
GP0c	0.099	0.289
NOD	0.22	0.216
NZO	0.152	-0.754
PWK	-0.041	0.03
H37Rv_KO_CtpC	-0.399	-0.427
H37Rv_KO_CtpD	1.48	0.652
H37Rv_KO_Rv1272	-0.807	-0.699
H37Rv_KO_SugABC	0.127	-0.665
H37Rv_KO_MbtN	-0.069	-0.164
Trans05	-0.126	0.18
macrophage_unactivated	0.306	0.0
IL1	1.323	1.02
Rapamycin	1.335	0.181
Tcell	0.316	-0.039
GMCSF	0.919	0.127
IFNab	0.493	0.677
IFNg	0.583	0.219
IFNg_GMCSF1	0.786	0.364
Rv1432_day32	0.348	-0.308
Rv1565c_day32	0.022	-0.752
secA2_input	0.011	-0.454
delta_Rv3594	-0.503	-1.069
delta_Rv3717	0.186	-0.137
delta_Rv3811	-0.778	-0.193
delta_Rv0954	-0.32	-0.491
PonA1	-0.83	-0.957
EccD1_KO	0.714	0.411
EspI_KO	0.553	0.439
PE35_KO	1.275	0.155
PPE68_KO	0.733	-0.106
glycerol2	0.502	0.465
lignocerate	1.359	1.041
oleate	-0.024	-0.118
phosphatidylcholine	0.926	0.518
acetate	0.638	1.17
glucAc	1.051	0.728
Rv0950ko	0.847	0.274
Rv1096ko	1.056	1.128
Rv3684ko	1.205	1.585
delta_otsA_trehalose	-0.234	0.885