Clustering data with heatmap algorithm for Metabolome Profiling of a Fast-growing Cyanobacterium Synechococcus elongatus PCC 11801 under Diurnal Cycle (Study ST001302)

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	Time (h):25 | Treatment Condition:MORNING
F2	Time (h):31 | Treatment Condition:MID-DAY
F3	Time (h):37 | Treatment Condition:EVENING
F4	Time (h):43 | Treatment Condition:MID-NIGHT
F5	Time (h):- | Treatment Condition:CONTINUOUS LIGHT ILLUMINATION

Data matrix