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 Rv0873/fadE10:

update plot	correlation	link to info on gene
Rv1916/aceAb	(cc=0.5323)	info on Rv1916/aceAb
Rv2458/mmuM	(cc=0.4958)	info on Rv2458/mmuM
Rv2429/ahpD	(cc=0.4783)	info on Rv2429/ahpD
Rv1981c/nrdF1	(cc=0.4731)	info on Rv1981c/nrdF1
Rv2408/PE24	(cc=0.4723)	info on Rv2408/PE24
Rv3116/moeB2	(cc=0.4628)	info on Rv3116/moeB2
Rv1511/gmdA	(cc=0.4612)	info on Rv1511/gmdA
Rv2345/-	(cc=0.4515)	info on Rv2345/-
Rv0713/-	(cc=0.4466)	info on Rv0713/-
Rv0978c/PE_PGRS17	(cc=0.4276)	info on Rv0978c/PE_PGRS17

Correlation of Rv0873/fadE10 with Rv0978c/PE_PGRS17

Normalized LFCs for Rv0873/fadE10:
(description and provenance of datasets)

	Rv0873/fadE10	Rv0978c/PE_PGRS17
Fe_supp_jason_reseq	0.892	-0.218
low_pH_jason_reseq	-1.044	-0.94
NO_jason_reseq	-0.732	0.1
B6_jason_reseq	0.425	0.54
MHCII_jason_reseq	0.675	-0.144
Isoniazid02	-0.908	-1.067
Rifampicin4	0.341	0.219
Ethambutol3	-0.111	-0.663
Meropenem3	-0.593	-0.321
Vancomycin16	-0.525	-0.454
Rv2680_day32	0.514	0.33
H37Rv_KO_MarP	0.306	0.556
hypoxia_3wks	-0.251	0.682
hypoxia_6wks	0.186	0.946
glycerol	0.184	0.511
cholesterol	0.542	0.166
AJ	-0.178	0.363
Bibs02	-0.282	0.526
Bibs02c	0.673	-0.326
BL6	0.014	0.173
BL6a	0.485	0.047
BXD01	0.187	0.137
BXD010	-0.229	-0.018
BXD011	-0.084	0.199
BXD03	-0.209	-0.062
BXD04	0.271	0.579
BXD05	0.411	0.311
BXD06	0.055	0.161
BXD07	0.113	0.192
BXD08	0.251	-0.213
BXD09	-0.015	-0.095
CAST	-0.34	0.023
CCcont	-0.065	-0.391
DS01	0.394	0.181
DS02	0.487	0.038
DS04	0.08	-0.326
DS0c	0.448	0.159
GP01	0.584	0.998
GP02	1.007	0.496
GP0c	0.131	0.437
NOD	-0.387	-0.28
NZO	0.123	0.221
PWK	-0.185	-0.192
H37Rv_KO_CtpC	-0.342	-0.086
H37Rv_KO_CtpD	0.489	0.047
H37Rv_KO_Rv1272	0.61	-0.035
H37Rv_KO_SugABC	0.11	-0.146
H37Rv_KO_MbtN	0.058	0.149
Trans05	-0.131	-0.554
macrophage_unactivated	0.253	-0.366
IL1	-0.374	-0.469
Rapamycin	-0.285	-0.592
Tcell	0.072	-0.378
GMCSF	0.341	0.325
IFNab	-0.209	-0.68
IFNg	0.139	-0.027
IFNg_GMCSF1	-0.396	-0.258
Rv1432_day32	0.175	-0.021
Rv1565c_day32	-0.708	0.616
secA2_input	-0.131	-0.133
delta_Rv3594	0.459	-0.02
delta_Rv3717	0.0	-0.521
delta_Rv3811	0.446	-0.311
delta_Rv0954	0.377	0.231
PonA1	0.521	0.233
EccD1_KO	0.28	0.615
EspI_KO	0.67	1.243
PE35_KO	0.137	0.195
PPE68_KO	0.0	0.403
glycerol2	0.46	-0.126
lignocerate	0.201	-0.357
oleate	0.6	0.187
phosphatidylcholine	0.51	-0.085
acetate	-0.298	-0.798
glucAc	-0.621	-0.313
Rv0950ko	0.021	0.597
Rv1096ko	-0.486	0.51
Rv3684ko	-0.501	0.18
delta_otsA_trehalose	0.97	1.285