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I would like to inquire about the differences between transcript_tpm.tsv and transcript_model_tpm.tsv.
The file transcript_model_tpm.tsv contains the expression of discovered transcript models in TPM (and corresponds to transcript_models.gtf). It should include all expressed transcripts, both novel and known, correct? However, when I search for a specific transcript, such as the canonical transcript ENST00000275493, I find it only exists in transcript_tpm.tsv with a high TPM value, while it is absent from transcript_model_tpm.tsv. I understand that those are two different algorithms: reference-based and discovery, but it is a bit weird that the ENST00000275493 is completely absent from transcript_model_tpm.tsv. Any reason for this inconsistency?
Smilarly, ENST00000275493 is absent from transcript_models.gtf. So, would you recommend using transcript_models.gtf or extended_annotation.gtf for downstream analyses, such as SQANTI3?
Thank you!
The text was updated successfully, but these errors were encountered:
You understanding is correct, and this is indeed a little bit odd. To understand where this inconsistency stems from one has to go deeper in the algorithms and data.
A few questions do you use. Which version do you use? Some of the inconsistencies were fixed at some point, but I cannot guarantee all of the are eliminated.
What reads are assigned to these isoforms in .read_assignments.tsv.gz and what are their assignment types? Where do these reads go in .transcript_model_reads.tsv.gz?
It seems that most unique reads were assigned to * instead of ENST00000275493, which means it is not a known transcript, or NIC or NNIC? I also noticed that most of the unique reads' assignment events were 'mono_exonic'; maybe that's the reason it cannot differentiate which isoform they come from?
Hi Thank you for developing this useful tool!
I would like to inquire about the differences between transcript_tpm.tsv and transcript_model_tpm.tsv.
The file transcript_model_tpm.tsv contains the expression of discovered transcript models in TPM (and corresponds to transcript_models.gtf). It should include all expressed transcripts, both novel and known, correct? However, when I search for a specific transcript, such as the canonical transcript ENST00000275493, I find it only exists in transcript_tpm.tsv with a high TPM value, while it is absent from transcript_model_tpm.tsv. I understand that those are two different algorithms: reference-based and discovery, but it is a bit weird that the ENST00000275493 is completely absent from transcript_model_tpm.tsv. Any reason for this inconsistency?
Smilarly, ENST00000275493 is absent from transcript_models.gtf. So, would you recommend using transcript_models.gtf or extended_annotation.gtf for downstream analyses, such as SQANTI3?
Thank you!
The text was updated successfully, but these errors were encountered: