Published in

International Union of Crystallography, Journal of Applied Crystallography, 6(50), p. 1844-1851, 2017

DOI: 10.1107/s1600576717015229

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Hierarchical clustering for multiple-crystal macromolecular crystallography experiments: the ccCluster program

This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Data provided by SHERPA/RoMEO

Abstract

This article describes ccCluster, a software providing an intuitive graphical user interface (GUI) and multiple functions to perform hierarchical cluster analysis on multiple crystallographic datasets. The program makes it easier for users to choose, in the case of multi-crystal data collection, those datasets that will be merged together to give good final statistics. It provides a simple GUI to analyse the dendrogram and various options for automated clustering and data merging.