Hi, I was wondering if the TIN score calculation considers the strandedness of reads? I'm looking at Pacbio long read rnaseq data. I noticed some transcripts that got a low TIN do have even coverage but overlap with another transcript on the opposite strand. If strandedness was not taken into account that might explain why they are getting a low TIN.
Here is an example:
DDIT3 has a TIN of 35%, the last exon overlaps with the first exon of MARS1
