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The WIlsON app is intended to interpret all types of quantitative data (e.g. multi-omics) which can be broken down to a key feature (such as genes or proteins) and assigned text columns and/or numeric values. It is designed to support common experimental designs by making use of individual data levels resulting from primary analysis, shown in the figure below.
The app provides a web-based analysis and visualization solution, realizing the basic idea to offer a flexible tool to the user without codifying any fixed or precalculated plots. This unavoidably leads to a certain degree of complexity. (And, the user should know what he/she wants to see:-) )
Once the experimental data is loaded into the app, the user can generate various plots following four basic steps:
- Filter for features of interest based on categorical (annotation) or numerical values (e.g. transcripts, genes, proteins, probes)
- Select plot type
- Adjust plot parameters
- Render/download result
How to cite?
H. Schultheis, C. Kuenne, J. Preussner, R. Wiegandt, A. Fust, M. Bentsen and M. Looso. WIlsON: Webbased Interactive Omics VisualizatioN. Bioinformatics 35(6) 2018, doi: https://doi.org/10.1093/bioinformatics/bty711
Copyright © 2019 Dr. Mario Looso, Max Planck Institute for Heart and Lung Research