Figures
Pattern correlation across multiple genome-scale datasets
The spatial organization of genomes is highly nonrandom and often exhibits periodic patterns. Shown here is a contour plot that highlights the degree of pattern correlation across multiple genome-scale datasets for Escherichia coli (identified using wavelet analysis). The overlap in these spatial patterns reveals that genome design involves a sophisticated multi-parameter, multi-length scale organization that is not solely dependent upon information content (see Allen et al).
Image Credit: Image generated by Timothy E. Allen using MATLAB software (The MathWorks).
Citation: (2006) PLoS Computational Biology Issue Image | Vol. 2(1) January 2006. PLoS Comput Biol 2(1): ev02.i01. https://doi.org/10.1371/image.pcbi.v02.i01
Published: January 27, 2006
Copyright: © 2006 Allen et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The spatial organization of genomes is highly nonrandom and often exhibits periodic patterns. Shown here is a contour plot that highlights the degree of pattern correlation across multiple genome-scale datasets for Escherichia coli (identified using wavelet analysis). The overlap in these spatial patterns reveals that genome design involves a sophisticated multi-parameter, multi-length scale organization that is not solely dependent upon information content (see Allen et al).
Image Credit: Image generated by Timothy E. Allen using MATLAB software (The MathWorks).