Update Readmes

Author: jluethi

README.md

@@ -1,2 +1,12 @@
 # fractal-demos
 Repository to store demos, notebooks and examples for the [Fractal project](https://github.com/fractal-analytics-platform/fractal)
+
+![Fractal_Overview](https://user-images.githubusercontent.com/18033446/190978261-2e7b57e9-72c7-443e-9202-15d233f8416d.jpg)
+
+## October Demo 2022
+In October 2022, we demo Fractal for the Liberali lab and the Pelkmans lab. You can find the slides here: https://docs.google.com/presentation/d/1j8xYRD_HP99sADttjsBzjjTr74oiveM-e6HAdDW0Sso/edit#slide=id.p
+All the instructions for the demo are in the `demo-october-2022` folder. General instructions on installation and how things work are in the base folder, the `example_2x2_cardio_fmi` \ `example_2x2_cardio_uzh` contain the more details instructions.
+
+## Contributors
+Fractal was conceived in the Liberali Lab at the Friedrich Miescher Institute for Biomedical Research and in the Pelkmans Lab at the University of Zurich (both in Switzerland). The project lead is with [@gusqgm](https://github.com/gusqgm) & [@jluethi](https://github.com/jluethi). Gustavo & Joel created this demo.
+The core Fractal development is done under contract by [@mfranzon](https://github.com/mfranzon), [@tcompa](https://github.com/tcompa) & [jacopo-exact](https://github.com/jacopo-exact) from eXact lab S.r.l. <exact-lab.it>.

demo-october-2022/fractal_demo_fmi.md

@@ -20,15 +20,18 @@ Follow the instructions to run the example in `example_2x2_cardio_fmi`
 4. Activate the fractal-client conda environment  
 `conda activate fractal-client`
 
-5. Follow instructions on how the client works / have a look at your own `run_fractal_demo.sh` file  
+5. Move into your own directory
+`cd luetjoel`
 
-6. Run your fractal demo file  
-`. joel_run_fractal_demo.sh`
+6. Follow instructions on how the client works / have a look at your own `run_fractal_demo.sh` file  
 
-7. To see what's running on the cluster, check squeue:  
+7. Run your fractal demo file  
+`. run_fractal_demo.sh`
+
+8. To see what's running on the cluster, check squeue:  
 `squeue --format "%.18i %.9P %.8j %.8u %.8T %.10M %.9l %.6D %R %C %m"`
 
-8. Once your job has finished running on the cluster, check your output folder (something like `joel_output`):  
+9. Once your job has finished running on the cluster, check your output folder (something like `joel_output`):  
 `cd ..`   
 `cd joel_output`  
 `ls`