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 Rv1585c/-

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

	Rv3376/-	Rv1585c/-
Fe_supp_jason_reseq	1.579	1.121
low_pH_jason_reseq	1.584	0.169
NO_jason_reseq	-0.725	0.391
B6_jason_reseq	1.759	-0.723
MHCII_jason_reseq	0.359	-0.485
Isoniazid02	1.355	0.131
Rifampicin4	-0.452	0.796
Ethambutol3	-0.018	-0.117
Meropenem3	-0.131	1.022
Vancomycin16	0.157	0.878
Rv2680_day32	0.129	0.249
H37Rv_KO_MarP	0.916	0.127
hypoxia_3wks	0.451	-0.235
hypoxia_6wks	0.14	-0.526
glycerol	-0.686	-0.809
cholesterol	0.185	0.193
AJ	1.052	0.983
Bibs02	0.244	-1.507
Bibs02c	0.859	-0.102
BL6	0.242	0.569
BL6a	0.881	0.092
BXD01	0.844	0.278
BXD010	0.221	-0.345
BXD011	0.583	-0.51
BXD03	-0.018	1.103
BXD04	0.354	-0.495
BXD05	-0.365	1.934
BXD06	0.382	0.122
BXD07	0.078	-0.138
BXD08	0.625	0.994
BXD09	-0.279	-0.216
CAST	0.37	-0.112
CCcont	0.854	0.069
DS01	0.38	0.683
DS02	-0.381	0.629
DS04	0.302	0.696
DS0c	-0.464	-0.333
GP01	-1.322	-0.625
GP02	-1.04	-0.393
GP0c	-0.711	0.911
NOD	1.199	2.94
NZO	0.407	-1.097
PWK	1.024	0.494
H37Rv_KO_CtpC	0.504	2.372
H37Rv_KO_CtpD	0.715	3.324
H37Rv_KO_Rv1272	0.25	1.597
H37Rv_KO_SugABC	0.88	1.362
H37Rv_KO_MbtN	0.878	0.644
Trans05	0.21	0.423
macrophage_unactivated	3.191	2.547
IL1	-0.3	-1.231
Rapamycin	0.982	-0.921
Tcell	0.779	0.554
GMCSF	0.584	0.0
IFNab	-0.305	-1.255
IFNg	0.059	-1.109
IFNg_GMCSF1	0.977	1.012
Rv1432_day32	0.679	0.0
Rv1565c_day32	0.716	0.455
secA2_input	-0.394	-1.077
delta_Rv3594	0.104	-2.071
delta_Rv3717	-0.331	-1.396
delta_Rv3811	0.819	-1.456
delta_Rv0954	-0.205	-0.677
PonA1	0.539	-0.503
EccD1_KO	0.187	0.125
EspI_KO	0.163	-1.001
PE35_KO	-0.263	-0.117
PPE68_KO	0.358	0.8
glycerol2	-0.562	-0.161
lignocerate	-0.226	-0.375
oleate	2.424	0.152
phosphatidylcholine	0.438	0.15
acetate	1.044	0.263
glucAc	1.056	0.485
Rv0950ko	0.829	1.839
Rv1096ko	-0.118	0.332
Rv3684ko	0.684	0.904
delta_otsA_trehalose	0.858	0.039