From 2d3f50dfa1533a51ae650cffe53fc85af2f761de Mon Sep 17 00:00:00 2001
From: SANCHEZ Theophile <theophile.sanchez@inria.fr>
Date: Thu, 8 Dec 2022 16:01:52 +0100
Subject: [PATCH] update tutorial

---
 README.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index e9eb716..851fcae 100644
--- a/README.md
+++ b/README.md
@@ -14,7 +14,7 @@ This docker image allows to run a container with all the software needed for eDN
 
 Keep in mind that any modifications made inside the container (e.g. packages newly installed or files modified) will be lost after stopping it. Therefore, you need to use the `-v` argument to mount the local files inside the container as explained in the tutorial bellow. Modification made to the mounted files will not be lost and you can even create new files from inside the container in the mounted path.
 
-The Rstudio web interface provides an R IDE (Integrated Development Environment) in addition to a terminal to execute any bash command you may need. 
+The **Rstudio** web interface provides an **R** IDE (Integrated Development Environment) in addition to a terminal to execute any bash command you may need. 
 
 ## Docker tutorial
 
@@ -25,12 +25,12 @@ Start the docker daemon by running:
 sudo dockerd
 ```
 
-In another terminal, download the image from dockerhub and run it with the following command:
+In another terminal, download the image from [dockerhub](https://hub.docker.com/r/thesanc/edna_tools) and run it with the following command:
 ```bash
 docker run -v path/to/your/local/file:path/inside/the/container -p 8787:8787 thesanc/edna_tools
 ```
 
-You should now be able to have access to the Rstudio instance by typing `localhost:8787` in your browser. You can log in with `rstudio` as username and the password provided by the output of the `docker run` command.
+You should now be able to have access to the **Rstudio** instance by typing `localhost:8787` in your browser. You can log in with `rstudio` as username and the password provided by the output of the `docker run` command.
 
 ### Mac
 
-- 
GitLab