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 Rv1892/-:

update plot	correlation	link to info on gene
Rv1805c/-	(cc=0.5706)	info on Rv1805c/-
Rv0093c/-	(cc=0.5354)	info on Rv0093c/-
Rv3487c/lipF	(cc=0.5017)	info on Rv3487c/lipF
Rv2281/pitB	(cc=0.4625)	info on Rv2281/pitB
Rv2758c/vapB21	(cc=0.4559)	info on Rv2758c/vapB21
Rv3528c/-	(cc=0.4516)	info on Rv3528c/-
Rv1847/-	(cc=0.4494)	info on Rv1847/-
Rv2151c/ftsQ	(cc=0.4486)	info on Rv2151c/ftsQ
Rv1499/-	(cc=0.4438)	info on Rv1499/-
Rv3840/-	(cc=0.4407)	info on Rv3840/-

Correlation of Rv1892/- with Rv0093c/-

Normalized LFCs for Rv1892/-:
(description and provenance of datasets)

	Rv1892/-	Rv0093c/-
Fe_supp_jason_reseq	0.065	0.38
low_pH_jason_reseq	-0.997	-1.673
NO_jason_reseq	0.228	-0.268
B6_jason_reseq	-0.277	-0.153
MHCII_jason_reseq	-0.127	0.288
Isoniazid02	0.194	-0.615
Rifampicin4	-0.011	-0.39
Ethambutol3	0.4	0.185
Meropenem3	0.452	0.849
Vancomycin16	0.127	-0.661
Rv2680_day32	0.304	0.319
H37Rv_KO_MarP	0.212	0.119
hypoxia_3wks	0.299	-0.116
hypoxia_6wks	0.62	-0.061
glycerol	0.24	0.98
cholesterol	0.302	0.681
AJ	0.768	0.792
Bibs02	0.069	-0.493
Bibs02c	-0.323	-1.725
BL6	0.32	0.95
BL6a	0.034	0.346
BXD01	0.375	-0.311
BXD010	0.673	-0.704
BXD011	0.437	0.143
BXD03	0.139	0.53
BXD04	0.513	1.275
BXD05	0.602	0.389
BXD06	0.538	0.523
BXD07	0.798	0.032
BXD08	0.636	0.899
BXD09	0.796	0.455
CAST	0.237	-0.29
CCcont	0.368	1.552
DS01	0.522	-1.116
DS02	0.337	-0.394
DS04	0.587	1.311
DS0c	0.218	0.665
GP01	-0.057	-0.867
GP02	1.255	-0.936
GP0c	0.015	0.201
NOD	0.14	-1.422
NZO	0.501	-0.147
PWK	1.816	-0.247
H37Rv_KO_CtpC	0.408	0.379
H37Rv_KO_CtpD	0.09	-0.341
H37Rv_KO_Rv1272	0.816	0.786
H37Rv_KO_SugABC	0.092	-1.345
H37Rv_KO_MbtN	1.48	1.045
Trans05	0.447	0.147
macrophage_unactivated	1.556	0.303
IL1	0.691	1.376
Rapamycin	0.307	0.049
Tcell	0.531	0.108
GMCSF	0.898	1.064
IFNab	0.674	0.197
IFNg	1.152	1.547
IFNg_GMCSF1	-0.198	0.352
Rv1432_day32	-0.047	1.512
Rv1565c_day32	0.1	0.0
secA2_input	0.85	1.124
delta_Rv3594	0.314	0.275
delta_Rv3717	0.418	0.188
delta_Rv3811	0.433	-0.275
delta_Rv0954	0.611	-0.7
PonA1	-0.312	-1.019
EccD1_KO	-0.595	-1.654
EspI_KO	-0.59	-0.742
PE35_KO	-0.75	-1.327
PPE68_KO	-0.461	-1.533
glycerol2	0.768	0.638
lignocerate	1.102	1.46
oleate	0.034	-1.836
phosphatidylcholine	0.707	0.144
acetate	1.167	1.478
glucAc	1.005	1.779
Rv0950ko	0.247	-0.488
Rv1096ko	-0.187	-0.271
Rv3684ko	0.147	-1.127
delta_otsA_trehalose	-1.231	-0.475