Practical-6-MAG-analyses.md

@@ -109,11 +109,11 @@ Step 6: use anvi-summarize to summarise your bin collection - now you have all t
 
 For this section, we are just going to explore the results for a collection of MAGs previously selected by us. The installation is not hard but it requires too much free space to run. Alternatively, you could also run it using Kbase. However, feel free to install it using conda (these are the instructions from https://github.com/Ecogenomics/GTDBTk).<br>
 
-1. Create a new conda environment: conda create -n gtdbtk
-2. Activate the environment: conda activate gtdbtk
-3. Install GTDB-Tk: conda install -c bioconda gtdbtk
-4. Download the reference package either manually or by running download-db.sh.
-5. Set the GTDBTK_DATA_PATH environment variable in {gtdbtk environment path}/etc/conda/activate.d/gtdbtk.sh to the reference package location.<br>
+1. Create a new conda environment: `conda create -n gtdbtk`
+2. Activate the environment: `conda activate gtdbtk`
+3. Install GTDB-Tk: `conda install -c bioconda gtdbtk`
+4. Download the reference package either manually or by running `download-db.sh`.
+5. Set the `GTDBTK_DATA_PATH` environment variable in `{gtdbtk environment path}/etc/conda/activate.d/gtdbtk.sh` to the reference package location.<br>
 
 Explore the results of GTDB-tk in today's folder. How do these results compare to checkM estimations?