Using newer Ontology for enrichR

[dlabuz]

When I use the default ontology databases for the enrichR program it works fine:

(dbs <- c("GO_Biological_Process_2018",
+                  "GO_Cellular_Component_2018",
+                  "GO_Molecular_Function_2018",
+                  "KEGG_2019_Human",
+                  "Panther_2016",
+                  "Reactome_2016",
+                  "RNA-Seq_Disease_Gene_and_Drug_Signatures_from_GEO")

If I change the databases to it doesn't work:

dbs <- c("GO_Biological_Process_2023",
+                  "GO_Cellular_Component_2023",
+                  "GO_Molecular_Function_2023",
+                  "KEGG_2021_Human",
+                  "Reactome_2022")Running enrichR

Welcome to enrichR
Checking connection ...
Enrichr ... Connection is Live!
FlyEnrichr ... Connection is Live!
WormEnrichr ... Connection is Live!
YeastEnrichr ... Connection is Live!
FishEnrichr ... Connection is Live!
OxEnrichr ... Connection is Live!
Annotating 13461 regions from hg38 with gene symbols
Building CpG islands...
Building CpG shores...
Building CpG shelves...
Building inter-CpG-islands...
'select()' returned 1:many mapping between keys and columns
Uploading data to Enrichr... Done.
Querying GO_Biological_Process_2023... Done.
Querying GO_Cellular_Component_2023... Done.
Querying GO_Molecular_Function_2023... Done.
Querying KEGG_2021_Human... Done.
Querying Reactome_2022... Done.
Parsing results... Done.
Submiting results from enrichR to rrvgo...
Warning: enrichR did not finish. The website may be down or there are internet connection issues.

Is there an issue with rrvgo and new ontology databases? I am working with a human dataset

It seems to get to this line and stop as I get the previous file "Ontologies/enrichr.xlsx" but nothing else after:

        DMRichR::slimGO(tool = "enrichR",
                        annoDb = annoDb,
                        plots = FALSE) %T>%
        openxlsx::write.xlsx(file = glue::glue("Ontologies/enrichr_slimmed_results.xlsx")) %>% 

[dlabuz]

Changed the values in the geneOntology.R script at slimGO line as well as DM.R script and seems to work