add figure from publication to README

README.md

@@ -15,18 +15,26 @@ and allows to perform it in the differential comparison mode, or as a time-serie
 As input, DIMet accepts three types of measures: a) isotopologues’ contributions, b) fractional contributions (also known as mean enrichment), c) full metabolites’ abundances. 
 DIMet also offers a _pathway-based omics integration_ through **Metabolograms**.
 
+<img src="https://raw.githubusercontent.com/cbib/DIMet/main/img/suppl_fig_1-light300.png" alt="functionalities" width="850"/>
+<sup>DIMet functionalities (Galvis J., <i>et al. Bioinformatics</i>, 2024).</sup>
+<p></p>
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 _Note_: DIMet is intended for downstream analysis of tracer metabolomics data that has been corrected for the presence of natural isotopologues. 
 
 _Formatting and normalisation helper_: scripts for formatting and normalization are provided in [TraceGroomer](https://github.com/cbib/TraceGroomer).
 
-_New_: DIMet is now available in **Galaxy**: Visit https://usegalaxy.eu/ to access the user-friendly interface of our tool.
+DIMet is available in **Galaxy Europe** (https://usegalaxy.eu/) and **Galaxy Workflow4Metabolomics** (https://workflow4metabolomics.usegalaxy.fr/), providing free access to the user-friendly interface of our tool.
 
 
 > [!IMPORTANT]
 > When using DIMet, please cite:
 > 
 > Galvis J, Guyon J, Dartigues B, Hecht H, Grüning B, Specque F,  Soueidan H, Karkar S,  Daubon T, Nikolski M. DIMet: An open-source tool for Differential analysis of targeted Isotope-labeled Metabolomics data. _Bioinformatics_ 2024; btae282. [https://doi.org/10.1093/bioinformatics/btae282](https://doi.org/10.1093/bioinformatics/btae282)
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 # Installing DIMet