diff --git a/tools/raceid/macros.xml b/tools/raceid/macros.xml
index 94b7bf81a83..2a8ccc46f1d 100644
--- a/tools/raceid/macros.xml
+++ b/tools/raceid/macros.xml
@@ -52,6 +52,11 @@ Rscript '$__tool_directory__/scripts/@PROG@' '$userconf' @OUT@
+
+
+ RaceID
+
+
diff --git a/tools/raceid/raceid_clustering.xml b/tools/raceid/raceid_clustering.xml
index 39fb1c5e555..efc47bea70f 100644
--- a/tools/raceid/raceid_clustering.xml
+++ b/tools/raceid/raceid_clustering.xml
@@ -4,6 +4,7 @@
macros.xmlmacros_cheetah.xml
+
diff --git a/tools/raceid/raceid_filtnormconf.xml b/tools/raceid/raceid_filtnormconf.xml
index 4299719aaaa..6499841e6e2 100644
--- a/tools/raceid/raceid_filtnormconf.xml
+++ b/tools/raceid/raceid_filtnormconf.xml
@@ -4,6 +4,7 @@
macros.xmlmacros_cheetah.xml
+
diff --git a/tools/raceid/raceid_inspectclusters.xml b/tools/raceid/raceid_inspectclusters.xml
index 7dfcbf2e79c..acc2e767eec 100644
--- a/tools/raceid/raceid_inspectclusters.xml
+++ b/tools/raceid/raceid_inspectclusters.xml
@@ -34,6 +34,7 @@
+
diff --git a/tools/raceid/raceid_inspecttrajectories.xml b/tools/raceid/raceid_inspecttrajectories.xml
index 5a0e1437d1d..d62387fd9cd 100644
--- a/tools/raceid/raceid_inspecttrajectories.xml
+++ b/tools/raceid/raceid_inspecttrajectories.xml
@@ -4,6 +4,7 @@
macros.xmlmacros_cheetah.xml
+
diff --git a/tools/raceid/raceid_trajectory.xml b/tools/raceid/raceid_trajectory.xml
index 536790f8ebc..6fcaf710b67 100644
--- a/tools/raceid/raceid_trajectory.xml
+++ b/tools/raceid/raceid_trajectory.xml
@@ -4,6 +4,7 @@
macros.xmlmacros_cheetah.xml
+
@@ -136,7 +137,7 @@ StemID2
StemID is an algorithm for the inference of lineage trees and differentiation trajectories based on pseudo-temporal ordering of single-cell transcriptomes. It utilizies the clusters predicted by RaceID clustering tool.
-In a nutshell, StemID infers links between clusters which are more populated with intermediate single-cell transcriptomes than expected by chance.
+In a nutshell, StemID infers links between clusters which are more populated with intermediate single-cell transcriptomes than expected by chance.
This will generate an RDS object, and a PDF showing a minimal spanning tree between the clusters, with the strength between clusters given by the colour and thickness of the branches.