I am very new to Galaxy. We have performed a comparative analysis between the 
transcriptomes of different samples. We performed the analysis using Galaxy 
software (Tophat; CuffDiff; etc). What my PI has done is compiled a list of all 
the genes differentially expressed between each set, each in a separate excel 
sheet. So what I have is an excel spreadsheet with a list (usually around 300) 
of test id, gene id, and locus (ChrX:111111111-22222222222). Initially, we have 
been identifying each gene individually, one at a time, by pasting the locus 
into the UCSC browser. This works, but is incredibly tedious. There has to be a 
better way in Galaxy. I have tried making BED files out of the loci, but so far 
I have been unable to identify genes using galaxy.

Can someone please explain how I can take my long list of loci and get gene 
names, ID, function, and possibly some downstream comparative ontologies to 
begin analyzing.
Like I said, very new to Galaxy and genomics.

Thanks very much

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