Visualisations to guide enriched proteome analyses

Quantitative mass spectrometry based proteomics data is high dimensional and when enriched with biological information for every measured protein, it widens the scope of analysis for end users. In silico analyses where data enrichment aids analysis goals can be further enhanced with tailored visualisations to guide differential pattern activity in proteomic data. In this study, we employed the core analysis tool of a single software platform, Qiagen’s Ingenuity Pathway Analysis (IPA), which is widely used in omic analyses, to explore comparative profiling of multi-source proteomic data. The central aim was to construct added visualisations from the wealth of exportable features available in IPA to provide further visual guides for users to utilise the built in tool metrics and domain based understanding in relation to their data.