Closed SJRussell closed 2 years ago
Hi,
Thank you for your interest in the software. This has been also reported in TEtranscripts (mhammell-laboratory/TEtranscripts#82), and it is related to a quirk in newer versions of pysam (pysam-developers/pysam#939). In our experience, it doesn't affect the output of the script, and thus your results should be fine. One thing I would confirm is whether your RNA-seq library is stranded, as the default parameter expects unstranded RNA-seq library. This can significantly change your quantification.
Thanks.
Thanks for the prompt reply! Glad to hear the error won't affect the results. I am using unstranded RNA lib prep so it should be correct. You can close the issue, but one last question: is it typical in your experience to see 5x more TE transcripts annotated compared with genes? I'm working with some extracellular samples of secreted RNA so this is very interesting. And my positive cellular controls show an inverse relationship, with 10x more genes than TEs annotated. Thanks again,
Stewart
Hi,
We haven't worked with secreted RNA samples, so we definitely haven't noticed that. Sounds very interesting! All the best.
Thanks.
Hello and thank you for your amazing work. I have a small issue that I'm hoping is not affecting my results. I've run TElocal on some paired end RNA seq data, aligned with STAR, using the following command:
ls | time parallel -j+0 --eta 'echo {} && TElocal --sortByPos -b {} --GTF /data/hg38_map_files/hg38.geneset.chr.ERCC.gtf --TE ~/GRCh38_GENCODE_rmsk_TE.gtf.locInd --project ../counts/{}'
It seems to have executed correctly, given that I'm getting gene and TE counts (example output below). However, right after 'Reading sample file ...' I get the error:
[E::idx_find_and_load] Could not retrieve index file for '.1627488686.429493bam'
Which I actually get this same error for every sample, with different numbers. Here are a couple others: '.1627488622.8951373bam' , '.1627488685.1249485bam'I'm not even sure what this index file refers to. Any suggestions would be greatly appreciated, including comments on how "normal" my results may be.
Thank you!
Example output: