Co-Expression network tools

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The aim of the co-expression module is to identify significant correlations between genomic features. Through this co-expression network and this system wide approach, scientists can potential analyze new co-regulations. Significant correlations have been identified using the Pearson coefficient of correlation.

One or several genes can be selected based on their names and the correlation cut-off can be defined.

Two types of displays are available for the co-expression network, including a standard force-directed graph visualization, and a circular graph visualization.

Force-directed graph visualization
Each node of the representation corresponds to a genomic feature and links between the nodes correspond to significant correlations. Genes found on the positive strand are represented by red nodes and genes found on the negative strand are represented by blue nodes, small RNAs are represented in purple, and antisense RNAs in green.

More details can be obtained by overlaying the mouse over the elements.

Circular graph visualization
This last viewer shows the Pearson correlation coefficient between genome elements using a representation of the circular bacterial genome. Similarly, genes found on the positive strand are represented by red nodes and genes found on the negative strand are represented by blue nodes, small RNAs are represented in purple, and antisense RNAs in green.

More details can be obtained by overlaying the mouse over the elements.