Data analysis was conducted using a custom script prepared in the R programming language ; the underlying source code is available for review by contacting the corresponding author. A schematic overview of the analysis steps is provided as Figure . To compute the measurement diversity using a single library, we followed the steps outlined in Figure . For clustering, we used the hclust package available in base R with a calculated dissimilarity matrix and "complete" linkage method. Diversity calculations were done with a variety of cutoff values depending on the measurement type being considered. To compute combined diversity indices using multiple measurements, we followed the steps in Figure . In this process, we need to convert traditional dissimilarity matrices into binary encoded dissimilarity Single Library EI Library RI Library