Closed rsalz closed 2 years ago
Hi there,
Swan's add_transcriptome()
function has an argument include_isms
whose default value is False. (Documented here: https://freese.gitbook.io/swan/code-documentation/swangraph). Internally our group typically does not analyze ISM (incomplete splice match) transcripts as they are both numerous and dubious. If you wish to keep them in your analyses please just use include_isms=True
when you're initializing your SwanGraph!
*EDIT: figured out I should be looking at 'path' not 'loc_path', my bad!! Thanks!
*EDIT: figured out I should be looking at 'path' not 'loc_path', my bad!! Thanks!
I had a feeling this was the case! Good detective work!
It seems that some transcripts that are present in 'all_talon_abundance_filtered.tsv' and 'all_talon_observedOnly.gtf' are not in the swangraph object when I upload them. How could this be? Is there an additional filtering that filters out transcripts while I add them?
More specifically- I have 6,070 of 12,812 novel transcripts remaining after I upload them into the swan object.
I'm using the standard
sg.add_transcriptome(talon_db, pass_list=pass_list)
andsg.add_abundance(ab_file)
as you suggest in the tutorial