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Chromosome structure via Euclidean Distance Matrices

The data represents the auto-correlation coefficients for gene expression of 3827 genes from the circular chromosome of E.coli across 49 different experimental conditions. In the data, the axis is ordered according the order in which genes appear in the E.coli circular chromosome with an arbitrary start and end point. The expression was smoothed at various resolutions to highlight spatial patterns at different scales. In this way the correlation matrices compliment eachother. Bright green indicates a correlation coefficient of +1 and bright red indicates anticorrelation, -1. It is assumed that the E.coli chromosome is structured such that genes which posetively correlate are close in distance within the cell, whereas genes which anticorrelate are far in distance. The exact relation is unknown but it would be interesting to try the alternate hypothesis to see what effect this has on the structure of the molecule.