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.xml macros_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.xml macros_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.xml macros_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.xml macros_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.