Hi,
I came across an issue while using featureCounts to quantify long read datasets and wanted to report that. It does not seem to handle multi-mapping reads correctly, as output by the aligner, minimap2. I've attached a small sample file where one read has 7 possible alignments. I run featureCounts with the "-L", "-M", "-O", and "--fraction" flags. However, the output I get still treats it as 7 separate alignments, which should not be the case and the total count in output is given 6. I was wondering why that would happen? Note that the read is aligned against the mm10 mouse genome. I can email the output file for this as well if needed. This was just a test case, but I've encountered multiple cases where there's multi-mapping and featureCounts overcounts the total number of reads and, in turn, expressed features. Let me know if I should be using different parameters. Would be grateful for your help.
-Laraib
Command I ran: "/subread-1.5.3-Linux-x86_64/bin/featureCounts -t exon -g gene_id -a Mus_musculus.GRCm38.84.gtf -o out.txt longSingle.sam -L -O -M --fraction"