diff --git a/README.md b/README.md
index 4412baecdf1ce12809fcce57525acce0e45b98b2..42063dde6784e73271e37d8c1d876b6589e78713 100644
--- a/README.md
+++ b/README.md
@@ -94,7 +94,7 @@ There are a few parameters to specify in the middle of the script:
 
 All these scripts can be run in
 1. normal mode (training and testing)
-2. with the suffix 'predict' after '''python3 <scriptname>''' for prediction and scatterplot creation, only
+2. with the suffix 'predict' after ```python3 <scriptname>``` for prediction and scatterplot creation, only
 3. with the suffic 'train' for training, only
 
 ### Supplementary scripts
@@ -104,10 +104,10 @@ For the end-to-end prediction, just the input sequences (UTR and CDS), and, if n
 
 ## Installation
 Clone the github repository and move to the new folder with
-'''
+```
 git clone https://git.scicore.unibas.ch/zavolan_group/data_analysis/predicting-translation-initiation-efficiency.git
 cd predicting-translation-initiation-efficiency
-'''
+```
 Setting up a conda environment for tensorflow is highly non-trivial and hardware-specific, especially if you want GPU acceleration. For installation help, refer to [this site](https://www.geeksforgeeks.org/how-to-install-tensorflow-in-anaconda/) and others.
 On top of tensorflow, the conda environment for preprocessing requires some additional packages specified in the requirements.txt file.