velocyto.py
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cell ranger v5 include-introns
Hi velocyto team,
I have a quick question regarding the pre-velocyto process using cell ranger. The new Cell Ranger 5.0 has a new "include-introns" option for counting intronic reads. https://support.10xgenomics.com/single-cell-gene-expression/software/pipelines/latest/algorithms/overview
Am I right that I should not use this option for veoloctyo analyses?
Thank you very much!
same question here thanks
Same question here. We tried running velocyto on both cellranger outputs (default setting and include-introns setting). Here are what we observed:
- cellranger with include-introns has more (about 5%) valid cells due to the fact that introns are regarded as transcripts so the read counts for cells changed the cell order in validation;
- for the common cells between the two datasets, both spliced and unspliced counts on default setting dataset are larger than those on include-introns dataset - don't know why because the E/N/I flag (Tag: RE:A) should be the same for all reads in the BAM files from the two options. Did Velocyto take additional tags from cellranger include-introns on intron reads into consideration and discarded some? But why did spliced count also decrease with include-intron flag?
Thanks! Jon
Any updates? Same question here.