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For each polymorph, clusters were generated by sequentially adding the 14 most important pairwise energies, ranked in the order of their contribution to the lattice energy from highest to lowest.

The clusters were generated by UPGMA (average score clustering) and similarity measures assessed using Euclidean distance.

Species-specific clusters were generated by two-dimensional PCoA based on genetic distance.

Expression pattern clusters were generated by the K-means clustering algorithm using R.

Clusters were generated by grouping of tags mapping to within 2 kb of each other.

Seven clusters were generated by the porB sequences: clusters (CL) A-1, A-2, A-3, B-1, B-2, C and D (Fig.  3; Table  5).

(Top) Mixed metal clusters are generated by laser vaporization of a metal alloy target.

For each polymorph, a series of molecular clusters was generated by sequentially adding the 14 most important molecule molecule interactions (first coordination shell) in descending order of their contributions to the lattice energy.

Final clusters are generated by linking proteins whose mutual Jaccard index is above a pre-determined cutoff.

Third, all possible haplotype clusters are generated by our clustering algorithm from the haplotypes produced in the first step.

It reveals that the different algorithms produce different sets of clusters: around 85% of clusters are uniquely generated by a single algorithm, 7% of clusters are generated by two algorithms, and the remaining 8% of clusters are generated by three or more algorithms.