diff --git a/README.md b/README.md
index 2b3bb8a357160447455493ef2b0d7c3fe5eb40d3..b0e8119323bdce07ed95d5be02d564cb5e5a320e 100644
--- a/README.md
+++ b/README.md
@@ -234,14 +234,6 @@ tar -xvf Tabula_Muris.tar.gz
 mv mnt/mcfiles/Datasets/Tabula_Muris data
 rm -r mnt
 ```
-##### Case study dataset
-
-The dataset we used in the case study is from (O’Koren et al), you can download 
-all the relevant files via [this link](https://www.svi.edu.au/MIG_2019_scRNAseq-workshop/case_study_data.tar.gz)
-
-It includes the raw fastqs and processed count matrix data and is of size 2.1GB. 
-If you would like to start with the count matrix data, please follow the instruction in the [RMarkdown](https://gitlab.svi.edu.au/biocellgen-public/mig_2019_scrnaseq-workshop/blob/master/case_study_data/case_study.Rmd) 
-to download the processed count matrix data from GEO.
 
 ##### Desired results
 
@@ -290,6 +282,14 @@ p│       └── FACS_metadata.csv
 With the files in these locations, everything is set up to run the code as
 presented in the RMarkdown files in the workshop.
 
+##### Case study dataset
+
+The dataset we used in the case study is from (O’Koren et al), you can download 
+all the relevant files via [this link](https://www.svi.edu.au/MIG_2019_scRNAseq-workshop/case_study_data.tar.gz)
+
+It includes the raw fastqs and processed count matrix data and is of size 2.1GB. 
+If you would like to start with the count matrix data, please follow the instruction in the [RMarkdown](https://gitlab.svi.edu.au/biocellgen-public/mig_2019_scrnaseq-workshop/blob/master/case_study_data/case_study.Rmd) 
+to download the processed count matrix data from GEO.
 
 ### RStudio