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Figure 6
(a) Unit-cell dimensions plotted as a histogram to demonstrate overlap between species (some outliers beyond the plotted x-axis range were removed for visual clarity). (b) Objective function residual (equation 1[link]) for each tested dimensionality. The automatically selected dimension is highlighted, which is the first dimension where the residual drops into the noise level as determined by the algorithm described in Section 2.2[link]. (c) OPTICS reachability plot for data sets ordered by the cluster that they belong to. A large spike in the reachability distance corresponds to a cluster boundary. (d) The optimized multi-dimensional cosym coordinates, projected in two dimensions, with the analysis performed in four dimensions. The coordinates have been rotated to align the axes with the two most significant eigenvectors derived from principal component analysis. Data sets are coloured according to clusters identified using the OPTICS algorithm [bovine (orange), porcine (pink) and human (blue) insulin]. For the other 2D projections of the coordinate plot, see the supporting information.

Journal logo STRUCTURAL
BIOLOGY
ISSN: 2059-7983
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