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Local usage
Most likely, users will want to run WIlsON on a local computer or local IT infrastructure to visualize their own data sets.
Here, we provide information on how to run WIlsON locally, using either R-Studio, a custom R Shiny Server or Docker.
An introduction into the CLARION data format that is used by WIlsON is available as well.
The WIlsON application consists of
- the
app.R
script, containing R code - a
/data
directory, containing input file(s) - the
/introduction
directory, containing the apps home page and - a
/www
directory, containing other files, like the WIlsON logo.
Custom data that resides in the /data
or /external_data
directory can be selected from the apps drop down menue in the feature selection pane.
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