Interpreting results of score_variants

Help & Support
1

Hello –

I’ve been using score_variants to try and identify which of my variants likely have the largest functional effects, primarily on RNAseq and DNAse data. I have tried ranking my results by raw_score, quantile_score, and both. However, whenever I attempt to visualize my highest ranked variants, the plots look nearly identical. This leads me to believe that I’m interpreting the scores incorrectly.

Would someone be able to explain how to interpret the output of score_variants, and how I might identify which variants have the greatest difference from the reference sequence?

Thanks!

1 Like
2

Hello,

Thanks for reaching out. To help us advise on next steps, would you be able to provide some more details or perhaps some plots? Thank you!

3

Hi Nicolene –

Sorry for the late reply. It turns out that the problem was on my end: I wasn’t separating the log-fold change scores from the active sum scores, so I was interpreting the active sum scores as very large fold changes.

Sorry for the false alarm!