Skip to main content
Fig. 1 | BMC Bioinformatics

Fig. 1

From: UQlust: combining profile hashing with linear-time ranking for efficient clustering and analysis of big macromolecular data

Fig. 1

Schematic 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