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 Rv3376/-:

update plot	correlation	link to info on gene
Rv0270/fadD2	(cc=0.4318)	info on Rv0270/fadD2
Rv1347c/mbtK	(cc=0.3493)	info on Rv1347c/mbtK
Rv1332/-	(cc=0.344)	info on Rv1332/-
Rv2941/fadD28	(cc=0.3423)	info on Rv2941/fadD28
Rv1085c/-	(cc=0.3387)	info on Rv1085c/-
Rv0318c/-	(cc=0.3374)	info on Rv0318c/-
Rv1585c/-	(cc=0.3262)	info on Rv1585c/-
Rv2931/ppsA	(cc=0.3247)	info on Rv2931/ppsA
Rv1825/-	(cc=0.3228)	info on Rv1825/-
Rv2932/ppsB	(cc=0.3174)	info on Rv2932/ppsB

Correlation of Rv3376/- with Rv0318c/-

Normalized LFCs for Rv3376/-:
(description and provenance of datasets)

	Rv3376/-	Rv0318c/-
Fe_supp_jason_reseq	1.579	0.058
low_pH_jason_reseq	1.584	1.265
NO_jason_reseq	-0.725	0.144
B6_jason_reseq	1.759	-0.141
MHCII_jason_reseq	0.359	0.08
Isoniazid02	1.355	0.116
Rifampicin4	-0.452	-0.097
Ethambutol3	-0.018	-0.294
Meropenem3	-0.131	1.397
Vancomycin16	0.157	0.271
Rv2680_day32	0.129	1.305
H37Rv_KO_MarP	0.916	0.787
hypoxia_3wks	0.451	-0.116
hypoxia_6wks	0.14	-0.783
glycerol	-0.686	-0.721
cholesterol	0.185	-0.642
AJ	1.052	0.247
Bibs02	0.244	0.269
Bibs02c	0.859	0.864
BL6	0.242	0.494
BL6a	0.881	-0.293
BXD01	0.844	0.745
BXD010	0.221	0.353
BXD011	0.583	0.485
BXD03	-0.018	0.472
BXD04	0.354	-0.613
BXD05	-0.365	-0.419
BXD06	0.382	0.249
BXD07	0.078	0.138
BXD08	0.625	-0.28
BXD09	-0.279	0.381
CAST	0.37	0.299
CCcont	0.854	0.656
DS01	0.38	0.414
DS02	-0.381	0.083
DS04	0.302	-0.363
DS0c	-0.464	-0.24
GP01	-1.322	-0.762
GP02	-1.04	-0.281
GP0c	-0.711	-0.644
NOD	1.199	0.304
NZO	0.407	1.188
PWK	1.024	0.449
H37Rv_KO_CtpC	0.504	0.192
H37Rv_KO_CtpD	0.715	0.186
H37Rv_KO_Rv1272	0.25	-0.504
H37Rv_KO_SugABC	0.88	1.097
H37Rv_KO_MbtN	0.878	-0.74
Trans05	0.21	0.286
macrophage_unactivated	3.191	1.345
IL1	-0.3	0.258
Rapamycin	0.982	0.789
Tcell	0.779	1.362
GMCSF	0.584	0.628
IFNab	-0.305	1.055
IFNg	0.059	0.861
IFNg_GMCSF1	0.977	0.927
Rv1432_day32	0.679	1.232
Rv1565c_day32	0.716	-0.145
secA2_input	-0.394	-0.147
delta_Rv3594	0.104	-0.589
delta_Rv3717	-0.331	-0.692
delta_Rv3811	0.819	-0.744
delta_Rv0954	-0.205	-0.327
PonA1	0.539	0.501
EccD1_KO	0.187	-0.25
EspI_KO	0.163	-0.24
PE35_KO	-0.263	-0.047
PPE68_KO	0.358	0.0
glycerol2	-0.562	1.264
lignocerate	-0.226	1.684
oleate	2.424	0.88
phosphatidylcholine	0.438	1.401
acetate	1.044	1.295
glucAc	1.056	1.056
Rv0950ko	0.829	-0.627
Rv1096ko	-0.118	-0.54
Rv3684ko	0.684	-0.196
delta_otsA_trehalose	0.858	-0.035