diff --git a/README.md b/README.md
index cd476c6432b7b1f9290d41a939c268c1de296d04..36b30b284d5422dce15ce8bfd4498e97b66fd37d 100644
--- a/README.md
+++ b/README.md
@@ -47,17 +47,19 @@ sites (bowtie2)
 2. Install any of [`Docker`](https://docs.docker.com/engine/installation/), [`Singularity`](https://www.sylabs.io/guides/3.0/user-guide/) or [`Podman`](https://podman.io/) for full pipeline reproducibility _(please only use [`Conda`](https://conda.io/miniconda.html) as a last resort; see [docs](https://nf-co.re/usage/configuration#basic-configuration-profiles))_
 
 3. Download the pipeline and test it on a minimal dataset with a single command
+
     ```bash
     nextflow run nf-core/hic -profile test,<docker/singularity/podman/conda/institute>
     ```
 
-> Please check [nf-core/configs](https://github.com/nf-core/configs#documentation)
-to see if a custom config file to run nf-core pipelines already exists for your Institute.
-If so, you can simply use `-profile <institute>` in your command.
-This will enable either `docker` or `singularity` and set the appropriate execution
-settings for your local compute environment.
+    > Please check [nf-core/configs](https://github.com/nf-core/configs#documentation)
+    to see if a custom config file to run nf-core pipelines already exists for your Institute.
+    If so, you can simply use `-profile <institute>` in your command.
+    This will enable either `docker` or `singularity` and set the appropriate execution
+    settings for your local compute environment.
 
 4. Start running your own analysis!
+
     ```bash
     nextflow run nf-core/hic -profile <docker/singularity/podman/conda/institute> --input '*_R{1,2}.fastq.gz' --genome GRCh37
     ```