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GenomeRIK / tama

Transcriptome Annotation by Modular Algorithms (for long read RNA sequencing data)
GNU General Public License v3.0
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tama_collapse.py，gene_id #129

Closed tky199996 closed 6 months ago

tky199996 commented 6 months ago

Hello, when I ran tama_collapse.py, I got the bed file, and then I converted the bed file into a gtf file. What I am confused about is that my gene_id is in the form of G1, G2, G3, etc., in my subsequent use When suppa2 performs alternative splicing event analysis, my gene_id is still in this form, but I want to know the specific gene names. How do I know the specific gene names represented by these gene_ids? Thank you for your help. ![Uploading gene.png…]()

GenomeRIK commented 6 months ago

You can use TAMA Merge to link the arbitrary Gene ID's to an annotation of choice. Using the source naming parameter.

tky199996 commented 6 months ago

You can use TAMA Merge to link the arbitrary Gene ID's to an annotation of choice. Using the source naming parameter.

hello,Is there any specific command to help me complete this step? I don’t know how to complete it. Thank you for your help.