diff --git a/small_RNA-seq/small_RNA-seq.snakefile b/small_RNA-seq/small_RNA-seq.snakefile
index 3b94aa0512365a4c9b64054a155035ded43397c8..a37b09f033deb451e960e167cadd6c021b1de8d7 100644
--- a/small_RNA-seq/small_RNA-seq.snakefile
+++ b/small_RNA-seq/small_RNA-seq.snakefile
@@ -3812,7 +3812,7 @@ rule explore_counts:
                 save_plot(output.zscore_clustermap, plot_clustermap, zscore_data, gene_colours, "zscore",
                     title="Clustering of %sRNA based on standardized (z-score) expression level" % wildcards.small_type)
             else:
-                warnings.warn(f"Not enough usable data points to compute clustermap for {wildcards.contrast}_{wildcards.small_type}"
+                warnings.warn(f"Not enough usable data points to compute clustermap for {wildcards.contrast}_{wildcards.small_type}")
                 # Make the file empty
                 open(output.zscore_clustermap, "w").close()
             #unit_data = pd.read_table(
@@ -3822,7 +3822,7 @@ rule explore_counts:
             #save_plot(output.unit_clustermap, plot_clustermap, unit_data, gene_colours, "unit",
             #    title="Clustering of %sRNA based on normalized (L2) expression level" % wildcards.small_type)
         else:
-            warnings.warn("No up or down regulated genes for {wildcards.contrast}_{wildcards.small_type}"
+            warnings.warn(f"No up or down regulated genes for {wildcards.contrast}_{wildcards.small_type}")
             # Make the file empty
             open(output.zscore_clustermap, "w").close()