I am running into the issue that all of the GOterm enrichment tools I have found so far require differential expression data. Unfortunately I am working with a single transcriptome due to lack of funding. I have only been able to graph GOterms in terms of genes annotated, which doesn't seem all that informative.
I assembled the transcriptome with Trinity and used Trinotate for GOterms. What I am trying to do is use the abundance counts and GOterm list to generate a single enriched set of GOterms for the transcriptome so that when I graph GOterms it will reflect transcript expression.
Transcripts RSEM TRINITY_DN31990_c0_g1 196 TRINITY_DN30285_c0_g1 3 TRINITY_DN18352_c0_g1 3 TRINITY_DN32239_c0_g1 253 TRINITY_DN37759_c0_g1 3 TRINITY_DN9612_c0_g1 5 TRINITY_DN12770_c0_g1 185