diff --git a/README.md b/README.md
index a8b1f20cdc5e9c9a434606bf0f5c049cfce75a86..48a1ae056c50397ff959a58c86992bea500fea5a 100644
--- a/README.md
+++ b/README.md
@@ -3,12 +3,13 @@
 Linux/Unix
 Python (>= 3.7)
 ## Install Scanpy through conda:
-The Miniconda3 package management system can be used to harmonize all of the software packages. We can install Scanpy using the conda environment.
-Use the following commands to install Miniconda3:
-$ wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh 
+The Miniconda3 package management system can be used to harmonize all of the software packages. We can install Scanpy using the following commands to install Miniconda3:
+```
+$ wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
 $ bash Miniconda3-latest-Linux-x86_64.sh
-
+```
 We can create an isolated environment for Scanpy and install through the following commands:
+```
 $ conda config --add channels defaults
 $ conda config --add channels bioconda
 $ conda config --add channels conda-forge
@@ -18,10 +19,10 @@ $ conda install seaborn scikit-learn statsmodels numba pytables
 $ conda install -c conda-forge python-igraph leidenalg
 $ conda install -c bioconda scanpy
 $ conda install -c anaconda ipykernel
-
+```
 ## Clone the repository:
+```
 $ git clone git@gitlab.rc.uab.edu:attis2021/single_cell_rnaseq_scanpy.git
-
+```
 ## Tutorial:
 A more detailed tutorial of how to analyze PBMC data use Scanpy can be found in file scanpy_pbmc_tutorial.ipynb.
-