Clustering data with heatmap algorithm for (Study ST002095)

This analysis uses the 'heatmap.2' function of gplots package in the R statistics environment

The rows are scaled to have mean=0 and standard deviation=1

Factors:

F1	set:1 | batch:1 | genotype:CB4856
F2	set:1 | batch:1 | genotype:CX11314
F3	set:1 | batch:1 | genotype:DL238
F4	set:1 | batch:1 | genotype:N2
F5	set:1 | batch:1 | genotype:PD1074
F6	set:1 | batch:1 | genotype:RB2011
F7	set:1 | batch:1 | genotype:solera
F8	set:1 | batch:2 | genotype:CB4856
F9	set:1 | batch:2 | genotype:CX11314
F10	set:1 | batch:2 | genotype:DL238
F11	set:1 | batch:2 | genotype:N2
F12	set:1 | batch:2 | genotype:PD1074
F13	set:1 | batch:2 | genotype:pooled_natural_isolate
F14	set:1 | batch:2 | genotype:pooled_pd1074
F15	set:1 | batch:2 | genotype:RB2011
F16	set:1 | batch:2 | genotype:solera
F17	set:2 | batch:3 | genotype:KJ550
F18	set:2 | batch:3 | genotype:PD1074
F19	set:2 | batch:3 | genotype:RB2347
F20	set:2 | batch:3 | genotype:RB2550
F21	set:2 | batch:3 | genotype:solera
F22	set:2 | batch:3 | genotype:VC1265
F23	set:2 | batch:4 | genotype:KJ550
F24	set:2 | batch:4 | genotype:PD1074
F25	set:2 | batch:4 | genotype:pooled_mutant
F26	set:2 | batch:4 | genotype:pooled_pd1074
F27	set:2 | batch:4 | genotype:RB2347
F28	set:2 | batch:4 | genotype:RB2550
F29	set:2 | batch:4 | genotype:solera
F30	set:2 | batch:4 | genotype:VC1265
F31	set:3 | batch:5 | genotype:AUM2073
F32	set:3 | batch:5 | genotype:PD1074
F33	set:3 | batch:5 | genotype:RB2055
F34	set:3 | batch:5 | genotype:solera
F35	set:3 | batch:5 | genotype:UGT49
F36	set:3 | batch:5 | genotype:UGT60
F37	set:3 | batch:5 | genotype:VC2524
F38	set:3 | batch:6 | genotype:AUM2073
F39	set:3 | batch:6 | genotype:PD1074
F40	set:3 | batch:6 | genotype:pooled_mutant
F41	set:3 | batch:6 | genotype:pooled_pd1074
F42	set:3 | batch:6 | genotype:RB2055
F43	set:3 | batch:6 | genotype:solera
F44	set:3 | batch:6 | genotype:UGT49
F45	set:3 | batch:6 | genotype:UGT60
F46	set:3 | batch:6 | genotype:VC2524

Data matrix