Does setting 'primaryHit: yes', the default, mean that featureCounts counts unique alignments as well as the best alignment for reads mapping to multiple locations?
I am running zUMIs on a mixed human and mouse single cells dataset, and wanted to have a breakdown of what fraction of the identified barcodes correctly labels cells from one genome only, compared to barcodes labelling mixed genomes.
In other words, how do I distinguish the case of a read that maps equally well to both human and mouse from the case of a read that maps to only one genome? Would I have to set 'primaryHit: no' to avoid multimappers altogether?
Hi,
Does setting 'primaryHit: yes', the default, mean that featureCounts counts unique alignments as well as the best alignment for reads mapping to multiple locations?
I am running zUMIs on a mixed human and mouse single cells dataset, and wanted to have a breakdown of what fraction of the identified barcodes correctly labels cells from one genome only, compared to barcodes labelling mixed genomes.
In other words, how do I distinguish the case of a read that maps equally well to both human and mouse from the case of a read that maps to only one genome? Would I have to set 'primaryHit: no' to avoid multimappers altogether?
thanks