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 Rv1985c/-:

update plot	correlation	link to info on gene
Rv3382c/lytB1	(cc=0.4515)	info on Rv3382c/lytB1
Rv1980c/mpt64	(cc=0.4358)	info on Rv1980c/mpt64
Rv1191/-	(cc=0.4336)	info on Rv1191/-
Rv0114/gmhB	(cc=0.4313)	info on Rv0114/gmhB
Rv1790/PPE27	(cc=0.4289)	info on Rv1790/PPE27
Rv3826/fadD23	(cc=0.4225)	info on Rv3826/fadD23
Rv3430c/-	(cc=0.4213)	info on Rv3430c/-
Rv1816/-	(cc=0.4175)	info on Rv1816/-
Rv0149/-	(cc=0.4062)	info on Rv0149/-
Rv3857c/-	(cc=0.3998)	info on Rv3857c/-

Correlation of Rv1985c/- with Rv1191/-

Normalized LFCs for Rv1985c/-:
(description and provenance of datasets)

	Rv1985c/-	Rv1191/-
Fe_supp_jason_reseq	-0.137	-1.689
low_pH_jason_reseq	-0.944	-1.544
NO_jason_reseq	0.11	-0.546
B6_jason_reseq	-0.292	-1.175
MHCII_jason_reseq	0.107	0.137
Isoniazid02	0.391	-0.333
Rifampicin4	0.336	0.455
Ethambutol3	0.454	0.049
Meropenem3	1.809	3.004
Vancomycin16	0.08	-0.037
Rv2680_day32	-0.109	0.224
H37Rv_KO_MarP	0.041	0.096
hypoxia_3wks	-0.231	0.195
hypoxia_6wks	0.117	-0.487
glycerol	0.023	1.063
cholesterol	-0.959	0.683
AJ	-0.287	-0.385
Bibs02	0.513	-0.123
Bibs02c	-0.415	-0.362
BL6	0.316	0.314
BL6a	-0.095	-0.343
BXD01	-0.161	0.772
BXD010	0.101	0.418
BXD011	0.885	0.183
BXD03	0.199	-0.342
BXD04	-0.219	0.366
BXD05	0.106	-0.134
BXD06	-0.097	-0.398
BXD07	0.524	-0.403
BXD08	-0.728	1.069
BXD09	0.269	-0.409
CAST	-0.425	-0.43
CCcont	-0.244	-0.971
DS01	-0.537	-1.129
DS02	-1.085	-1.252
DS04	-1.2	-0.193
DS0c	-0.984	-1.017
GP01	-0.475	-0.018
GP02	-0.05	1.19
GP0c	-0.625	-0.473
NOD	0.272	-1.316
NZO	-0.588	-0.048
PWK	0.078	0.321
H37Rv_KO_CtpC	0.334	-0.498
H37Rv_KO_CtpD	0.903	-0.629
H37Rv_KO_Rv1272	0.632	0.732
H37Rv_KO_SugABC	-0.331	-0.098
H37Rv_KO_MbtN	1.092	0.435
Trans05	0.86	1.466
macrophage_unactivated	0.47	-0.379
IL1	-0.208	-1.204
Rapamycin	0.402	0.028
Tcell	-0.323	-0.088
GMCSF	-0.074	-0.951
IFNab	-0.345	-1.336
IFNg	0.804	-0.903
IFNg_GMCSF1	-1.197	-0.99
Rv1432_day32	0.78	-0.034
Rv1565c_day32	-1.652	-0.472
secA2_input	-0.996	-0.883
delta_Rv3594	-0.598	-0.541
delta_Rv3717	-0.56	-0.209
delta_Rv3811	-0.854	-0.39
delta_Rv0954	-0.133	0.382
PonA1	-0.646	0.172
EccD1_KO	0.02	-0.46
EspI_KO	-0.488	-1.041
PE35_KO	0.0	-0.986
PPE68_KO	-0.141	-1.344
glycerol2	-0.021	0.321
lignocerate	-0.462	-0.423
oleate	0.329	0.784
phosphatidylcholine	-0.031	0.374
acetate	-0.153	-0.545
glucAc	-0.827	-1.392
Rv0950ko	0.519	0.027
Rv1096ko	0.181	0.609
Rv3684ko	0.088	0.832
delta_otsA_trehalose	0.259	-0.704