Open haraldgrove opened 3 years ago
Dear Harald, it depends on whether you used the [BAF] option or not. If you used it, then FREEC will likely assign CN=3 correctly. Did you look at the resulting BAF?
I did not use any of the BAF options. I can try and add those and see what happens.
Thanks.
Yes, please share then the second graph with BAF values to be sure that it worked!
I re-did the analysis with BAF, and the CN-values changed for several of the sections. I'd assume that this is then a more correct view of the CNVs.
You should also visualize the BAF info. Does it make sense?
I'm not sure if I can say it makes sense or not. The BAF matches the other results, but I don't know how it would look if there was anything wrong.
It fits! But I will update the visualization script written 10 years ago to make things more readable.
I've just analaysed a WGS dataset (matched tumor-normal) from a breast cancer sample and the output is telling me that most of the genome is noted as having an increase in copy numbers (CN=3). (see figure of Ratio*2 below)
I just wanted to know if there might be an issue with the normalisation and that the real result should have been mostly normal regions with some regions having a reduction in copy number instead?
Thank you