Welcome to the DRomicsInterpreter-shiny application
A second workflow for interpretation in light of a biological annotation

Links and resources

The DRomicsInterpreter-shiny application runs on the shiny server of the LBBE with the develoment version of the DRomics package (available on Github ).

DRomics is also an R package, available on CRAN . You can find more information and help about the DRomicsInterpreter-shiny application and the DRomics package on this web page .

Reading the vignette first and using the cheat sheet (both are available on this this page ) are recommended.

Citation and publications

If you use Dromics Shiny App, you should cite:

DRomics: a turnkey tool to support the use of the dose-response framework for omics data in ecological risk assessment.
Larras F, Billoir E, Baillard V, Siberchicot A, Scholz S, Wubet T, Tarkka M, Schmitt-Jansen M and Delignette-Muller ML (2018). Environmental Science & Technology. https://doi.org/10.1021/acs.est.8b04752

You can freely find this article at: https://hal.archives-ouvertes.fr/hal-02309919

You can also look at the following citation for a complete example of use:

A multi-omics concentration-response framework uncovers novel understanding of triclosan effects in the chlorophyte Scenedesmus vacuolatus.
Larras F, Billoir E, Scholz S, Tarkka M, Wubet T, Delignette-Muller ML, Schmitt-Jansen M (2020). Journal of Hazardous Materials. https://doi.org/10.1016/j.jhazmat.2020.122727


If you have any need that is not yet covered, any feedback on the package / Shiny app, or any training needs, feel free to email us at dromics@univ-lyon1.fr .

Issues can be reported on https://github.com/aursiber/DRomics/issues .

Import and merge of DRomics results and annotation data

Structure of the data frame merged and combined


First 3 lines of each experimental level in the data frame merged and combined

Trend and sensitivity plots

Selection of annotation groups to plot  

Structure of the data frame merged and combined

              Download Data

BMD plots (with and without gradient)

Curves plot


To see what more you can do using the R package, we recommend you to consult the vignette and the cheat sheet (links to all resources here ).

Download R Code