Clustering data with heatmap algorithm for (Study ST000351)

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	Strain:atlA mutant | Sample type:Whole cells | Growth condition:aerobically
F2	Strain:atlA mutant | Sample type:Whole cells | Growth condition:anaerobically
F3	Strain:lrgAB mutant | Sample type:Supernatant | Growth condition:aerobically
F4	Strain:lrgAB mutant | Sample type:Supernatant | Growth condition:anaerobically
F5	Strain:lrgAB mutant | Sample type:Whole cells | Growth condition:aerobically
F6	Strain:lrgAB mutant | Sample type:Whole cells | Growth condition:anaerobically
F7	Strain:N/A | Sample type:Media only | Growth condition:N/A
F8	Strain:UA159 wild type | Sample type:Supernatant | Growth condition:aerobically
F9	Strain:UA159 wild type | Sample type:Supernatant | Growth condition:anaerobically
F10	Strain:UA159 wild type | Sample type:Whole cells | Growth condition:aerobically
F11	Strain:UA159 wild type | Sample type:Whole cells | Growth condition:anaerobically

Data matrix