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Describe the bug
I am looking to access UMI count for each chain of a set of antibodies read into the scirpy anndata frame. It appears that read count is present in the awkward array associated with the airr anndata obsm awkward array under the title 'consensus_count' like so:
adata["airr"].obsm['airr']['consensus_count']
but the UMI count is nowhere to be found. None of the available fields point to the UMI count.
where has this field gone (it is present in the original 10X filtered_contig_annotation.csv input file)?
thanks for bringing this up!
The UMI count goes to adata["airr"].obsm["airr"]["duplicate_count"].
I always found this a bit confusing, and I've just seen that there has been an update to the AIRR Rearrangement standard that introduces a dedicated umi_count field which is a lot clearer. I'll update scirpy to use this field instead in the future.
Describe the bug
I am looking to access UMI count for each chain of a set of antibodies read into the scirpy anndata frame. It appears that read count is present in the awkward array associated with the airr anndata obsm awkward array under the title 'consensus_count' like so:
adata["airr"].obsm['airr']['consensus_count']
but the UMI count is nowhere to be found. None of the available fields point to the UMI count.
where has this field gone (it is present in the original 10X filtered_contig_annotation.csv input file)?
System
anndata 0.10.4
awkward 2.5.1
matplotlib 3.8.2
mudata 0.2.3
muon 0.1.5
numpy 1.26.2
pandas 2.1.3
scanpy 1.9.3
scirpy 0.14.0
Additional context
Add any other context about the problem here.
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