Fig. 1

Flowchart demonstrating the functionality of MetageneCluster. The user provides an annotation file, an alignment file, and genomic features to be analyzed. Each feature has its coordinates found in the annotation file, has its coverage determined from the alignment file, and then has its coverage normalized by length. K-means clustering then groups each feature into its most representative metagene plot and exports each plot and the corresponding list of features