Comparative Analysis Over Time

Systematic perturbation, i.e., the variation in experimental conditions such as employing pathogen mutations, different species strains or different drug treatments, is an essential element for discerning the underlying mechanisms of a host response to disease or treatment. Hence, the Seralogix pipeline has automated the task of comparing different analysis results to create side-by-side comparative analysis results. Comparative analysis can be performed between classical statistical analysis results, pathway scores, or gene ontology scores. Comparative analysis can quickly indicate host response divergence at the pathway, GO group or individual gene levels.

The comparative analysis can be created between different analysis conditions or performed during DBGGA scoring in which two or more treatment conditions can be scored against a common control group. Alternatively, the end-user can select which analysis reports to compare and create an output report from the web-based reporting tools. Figure 1 shows a pathway comparative heatmap between two conditions where one condition is a host challenged with a wild type pathogen and the second condition is with a less virulent mutant pathogen both of which are differentially compared to a control (uninfected) condition. Figure 2 shows a gene expression comparative heatmap for the Notch Signaling pathway for the same conditions as in Figure 1.

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Pathway Comparisons

Gene Comparison