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 Rv0576/-:

update plot	correlation	link to info on gene
Rv2695/-	(cc=0.5209)	info on Rv2695/-
Rv3847/-	(cc=0.5112)	info on Rv3847/-
Rv3050c/-	(cc=0.498)	info on Rv3050c/-
Rv1752/-	(cc=0.4943)	info on Rv1752/-
Rv3521/-	(cc=0.4913)	info on Rv3521/-
Rv0222/echA1	(cc=0.4889)	info on Rv0222/echA1
Rv2857c/-	(cc=0.4882)	info on Rv2857c/-
Rv3398c/idsA1	(cc=0.488)	info on Rv3398c/idsA1
Rv0647c/-	(cc=0.4856)	info on Rv0647c/-
Rv1128c/-	(cc=0.4766)	info on Rv1128c/-

Correlation of Rv0576/- with Rv1752/-

Normalized LFCs for Rv0576/-:
(description and provenance of datasets)

	Rv0576/-	Rv1752/-
Fe_supp_jason_reseq	-0.308	0.898
low_pH_jason_reseq	-0.475	-0.161
NO_jason_reseq	-0.205	-0.764
B6_jason_reseq	-1.345	-0.729
MHCII_jason_reseq	-0.823	-0.549
Isoniazid02	0.422	-0.434
Rifampicin4	-0.292	0.555
Ethambutol3	0.311	1.171
Meropenem3	-0.374	0.194
Vancomycin16	0.082	0.0
Rv2680_day32	0.725	-2.199
H37Rv_KO_MarP	0.529	0.524
hypoxia_3wks	0.06	2.444
hypoxia_6wks	0.319	2.717
glycerol	-1.257	1.779
cholesterol	0.345	0.643
AJ	-0.062	1.076
Bibs02	0.494	0.404
Bibs02c	-0.611	-1.94
BL6	-0.841	1.559
BL6a	0.319	2.314
BXD01	0.926	3.174
BXD010	0.953	1.471
BXD011	0.639	2.332
BXD03	-0.279	2.639
BXD04	0.42	3.421
BXD05	1.16	3.019
BXD06	1.095	3.229
BXD07	-0.037	2.882
BXD08	1.008	2.391
BXD09	0.57	2.702
CAST	-0.26	0.779
CCcont	0.223	1.774
DS01	-0.267	-1.437
DS02	-0.878	-0.989
DS04	1.067	-0.544
DS0c	-0.379	0.368
GP01	0.511	2.24
GP02	2.078	3.888
GP0c	1.018	2.7
NOD	0.06	-0.142
NZO	0.104	1.621
PWK	-0.193	0.117
H37Rv_KO_CtpC	0.405	2.829
H37Rv_KO_CtpD	0.656	1.947
H37Rv_KO_Rv1272	0.585	1.77
H37Rv_KO_SugABC	-0.99	2.44
H37Rv_KO_MbtN	0.013	1.34
Trans05	0.068	-0.315
macrophage_unactivated	0.388	1.073
IL1	0.86	0.234
Rapamycin	1.2	1.197
Tcell	1.03	2.587
GMCSF	-0.084	0.504
IFNab	0.327	-0.577
IFNg	0.329	-0.796
IFNg_GMCSF1	0.198	-0.346
Rv1432_day32	0.721	0.18
Rv1565c_day32	0.305	-1.777
secA2_input	-0.504	0.44
delta_Rv3594	0.919	0.646
delta_Rv3717	-0.263	-0.608
delta_Rv3811	-0.81	-0.802
delta_Rv0954	0.102	1.056
PonA1	0.126	-0.6
EccD1_KO	-0.444	0.842
EspI_KO	-0.208	0.625
PE35_KO	0.283	1.808
PPE68_KO	-0.234	1.414
glycerol2	-1.138	-0.336
lignocerate	-1.622	-1.251
oleate	-0.322	0.043
phosphatidylcholine	-0.958	-0.319
acetate	-1.012	-2.123
glucAc	-0.486	-1.959
Rv0950ko	0.09	0.142
Rv1096ko	0.709	1.131
Rv3684ko	0.77	-0.976
delta_otsA_trehalose	-2.117	-2.184