Fig. 1From: UQlust: combining profile hashing with linear-time ranking for efficient clustering and analysis of big macromolecular dataSchematic representation of approximate hierarchical clustering with profile hashing to generate ‘micro-clusters’ (lower level in the figure, with hashing keys in terms of consensus structure) that are subsequently hierarchically clustered, starting from the representative structures (1D-jury centroids shown above) in each micro-cluster, using an applicable distance measure, such as Hamming, cosine or RMSD (if 3D structures are available)Back to article page