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 Rv2994/-:

update plot	correlation	link to info on gene
Rv1318c/-	(cc=0.5048)	info on Rv1318c/-
Rv2701c/suhB	(cc=0.4907)	info on Rv2701c/suhB
Rv0036c/-	(cc=0.4744)	info on Rv0036c/-
Rv2771c/-	(cc=0.471)	info on Rv2771c/-
Rv3714c/-	(cc=0.4678)	info on Rv3714c/-
Rv3444c/esxT	(cc=0.4664)	info on Rv3444c/esxT
Rv3733c/-	(cc=0.4664)	info on Rv3733c/-
Rv2319c/-	(cc=0.4652)	info on Rv2319c/-
Rv0372c/-	(cc=0.464)	info on Rv0372c/-
Rv0395/-	(cc=0.4579)	info on Rv0395/-

Correlation of Rv2994/- with Rv2319c/-

Normalized LFCs for Rv2994/-:
(description and provenance of datasets)

	Rv2994/-	Rv2319c/-
Fe_supp_jason_reseq	-0.358	-0.251
low_pH_jason_reseq	-0.865	-1.128
NO_jason_reseq	-0.074	0.055
B6_jason_reseq	0.503	1.133
MHCII_jason_reseq	0.585	0.934
Isoniazid02	0.192	0.405
Rifampicin4	0.72	0.753
Ethambutol3	0.413	0.103
Meropenem3	0.207	1.372
Vancomycin16	0.531	0.639
Rv2680_day32	-0.56	1.133
H37Rv_KO_MarP	0.099	0.281
hypoxia_3wks	0.335	0.12
hypoxia_6wks	0.695	-0.449
glycerol	-0.278	-0.642
cholesterol	-0.106	-0.768
AJ	0.131	0.267
Bibs02	-0.012	-0.97
Bibs02c	0.45	-0.109
BL6	0.603	-0.106
BL6a	0.363	0.136
BXD01	-0.321	-0.31
BXD010	-0.158	-0.48
BXD011	0.293	-0.209
BXD03	-0.026	-0.129
BXD04	-0.42	-0.233
BXD05	0.398	-0.129
BXD06	0.009	0.027
BXD07	0.144	0.146
BXD08	0.222	0.066
BXD09	-0.009	-0.282
CAST	0.143	-0.964
CCcont	-0.494	-0.718
DS01	0.419	-0.719
DS02	-0.284	-0.358
DS04	-0.142	-0.02
DS0c	0.5	-1.079
GP01	0.516	1.521
GP02	0.412	0.35
GP0c	-0.141	0.196
NOD	0.208	0.6
NZO	-0.16	-0.328
PWK	0.182	-0.735
H37Rv_KO_CtpC	-0.064	0.86
H37Rv_KO_CtpD	-0.251	-0.456
H37Rv_KO_Rv1272	-0.968	-0.135
H37Rv_KO_SugABC	1.032	0.677
H37Rv_KO_MbtN	-1.404	-0.122
Trans05	-0.209	-0.328
macrophage_unactivated	-0.445	-0.518
IL1	-0.047	0.394
Rapamycin	-0.457	-0.246
Tcell	-0.782	-0.593
GMCSF	0.821	0.708
IFNab	-0.221	-0.242
IFNg	-0.353	0.393
IFNg_GMCSF1	-0.415	0.0
Rv1432_day32	1.036	-0.185
Rv1565c_day32	0.294	0.509
secA2_input	0.614	0.157
delta_Rv3594	0.167	1.193
delta_Rv3717	0.118	0.725
delta_Rv3811	-0.123	1.274
delta_Rv0954	-0.021	0.262
PonA1	-0.575	-0.349
EccD1_KO	-0.109	0.26
EspI_KO	0.046	-0.299
PE35_KO	-0.61	0.449
PPE68_KO	-0.106	0.192
glycerol2	-0.626	-1.092
lignocerate	-0.772	-1.038
oleate	-0.4	0.072
phosphatidylcholine	-0.437	-0.548
acetate	-0.874	-1.124
glucAc	-1.191	-1.934
Rv0950ko	0.048	0.905
Rv1096ko	0.832	1.27
Rv3684ko	0.452	0.612
delta_otsA_trehalose	1.026	0.154