Hello, I am using topGo for customized background enrichment analysis. i made background file by names of genes and their corresponding GO IDs. I can do fisher's teat and every thing mentioned in the manual. I want my result table correspond to gene name not GO IDs. I found a code to find genes against GO ids

myterms = c("GO:0007610", "GO:0014070", "GO:0045910") mygenes <- genesInTerm(myGOdata, myterms)

for (i in 1:length(myterms)) { myterm <- myterms[i] mygenesforterm <- mygenes[myterm][[1]] mygenesforterm <- paste(mygenesforterm, collapse=',') print(paste("Term",myterm,"genes:",mygenesforterm)) }

i want opposite of it. From gene name to GO ids table. I am new to this. kindly help me.

thank you

# include your problematic code here with any corresponding output 
# please also include the results of running the following in an R session 

sessionInfo( )

Perhaps you can restate your goal? As it stands I am afraid it doesn't make any sense. In other words, my interpretation of your question is that you have a set of significant GO terms that you can output in a results table, but instead of GO terms you want each row to have a gene name.

But that doesn't make any sense! Each GO term is significant because there are multiple genes that are appended to that GO term, and which are significant in your analysis. So each row of the results table arose because of multiple genes, not one.

You might want to know which genes for each GO term were significant, and caused the term to be significant, which might be what the function you show does (alternatively probeSetSummary in GOstats does exactly that). But directly replacing the GO term with a Gene ID isn't really a thing.