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 Rv0073/-:

update plot	correlation	link to info on gene
Rv0160c/PE4	(cc=0.5614)	info on Rv0160c/PE4
Rv2431c/PE25	(cc=0.5486)	info on Rv2431c/PE25
Rv2352c/PPE38	(cc=0.5416)	info on Rv2352c/PPE38
Rv3045/adhC	(cc=0.53)	info on Rv3045/adhC
Rv0456B/mazE1	(cc=0.5264)	info on Rv0456B/mazE1
Rv0197/-	(cc=0.5135)	info on Rv0197/-
Rv3404c/-	(cc=0.5038)	info on Rv3404c/-
Rv3814c/-	(cc=0.4958)	info on Rv3814c/-
Rv2957/-	(cc=0.4929)	info on Rv2957/-
Rv2472/-	(cc=0.4893)	info on Rv2472/-

Correlation of Rv0073/- with Rv3404c/-

Normalized LFCs for Rv0073/-:
(description and provenance of datasets)

	Rv0073/-	Rv3404c/-
Fe_supp_jason_reseq	-0.133	-0.442
low_pH_jason_reseq	-0.422	0.701
NO_jason_reseq	-0.761	0.024
B6_jason_reseq	0.152	-0.342
MHCII_jason_reseq	-0.392	-0.684
Isoniazid02	-1.654	-0.435
Rifampicin4	-0.801	-0.542
Ethambutol3	-0.55	0.015
Meropenem3	-1.17	-0.448
Vancomycin16	-1.141	-0.793
Rv2680_day32	0.489	0.336
H37Rv_KO_MarP	0.0	0.483
hypoxia_3wks	-0.203	0.606
hypoxia_6wks	-0.244	0.109
glycerol	0.812	0.038
cholesterol	0.242	0.055
AJ	-0.076	0.672
Bibs02	0.755	0.421
Bibs02c	0.915	0.327
BL6	0.766	-0.242
BL6a	0.042	0.277
BXD01	0.451	0.276
BXD010	0.271	0.166
BXD011	-0.245	0.152
BXD03	0.36	0.631
BXD04	0.559	0.285
BXD05	0.599	0.451
BXD06	0.259	0.099
BXD07	0.015	-0.194
BXD08	-0.198	-0.27
BXD09	0.235	0.073
CAST	0.143	-0.137
CCcont	-0.04	-0.688
DS01	1.3	0.506
DS02	0.553	0.999
DS04	0.41	0.073
DS0c	0.903	0.841
GP01	0.275	-0.169
GP02	0.285	0.508
GP0c	-0.336	-0.546
NOD	0.395	0.722
NZO	0.306	0.566
PWK	0.796	0.885
H37Rv_KO_CtpC	0.467	-0.013
H37Rv_KO_CtpD	1.33	0.713
H37Rv_KO_Rv1272	0.816	0.781
H37Rv_KO_SugABC	-0.049	0.184
H37Rv_KO_MbtN	-0.225	-0.771
Trans05	1.018	0.864
macrophage_unactivated	0.208	0.401
IL1	0.08	-0.555
Rapamycin	0.338	0.267
Tcell	0.277	0.137
GMCSF	-0.256	0.243
IFNab	-0.187	-0.42
IFNg	-0.241	0.339
IFNg_GMCSF1	-0.512	-0.17
Rv1432_day32	-0.489	0.381
Rv1565c_day32	-0.092	0.798
secA2_input	0.269	-1.118
delta_Rv3594	-0.17	-0.433
delta_Rv3717	-0.341	-0.391
delta_Rv3811	-0.439	0.452
delta_Rv0954	-0.134	-0.127
PonA1	-0.008	-0.047
EccD1_KO	-0.102	-0.243
EspI_KO	0.268	0.023
PE35_KO	0.257	-0.429
PPE68_KO	0.531	-0.614
glycerol2	0.073	0.502
lignocerate	-0.323	-0.23
oleate	0.336	1.259
phosphatidylcholine	0.022	0.657
acetate	-1.034	-0.826
glucAc	-0.98	-1.839
Rv0950ko	0.271	0.386
Rv1096ko	0.305	-0.344
Rv3684ko	-0.698	-0.147
delta_otsA_trehalose	-0.232	0.898