Hi
I need to explain that, this is not an issue, but some questions about SeqKat.
I want to detect kataegis in a cohort of breast cancer sample(WGS). I found that in most papers kataegis was identified by inspecting the rainfall plot. And the only algorithm I found for kataegis detection is proposed by Alexandrov et al(2013, Nature, Signatures of mutational processes in human cancer), they exploited a segmentation algorithm(piecewise constant fitting) widely used in CNV estimation.
I wonder if you have compared the performance of SeqKat with that of Alexandrov's method. How about the sensitivity SeqKat? And, do I need to manually review the result of SeqKat to filter some false discovery result?
(Honestly, I don't like Alexandrov's method, it is too complex, but there is no publication about SeqKat, so I have to trouble you here)
Thanks a lot!
Hi I need to explain that, this is not an issue, but some questions about SeqKat. I want to detect kataegis in a cohort of breast cancer sample(WGS). I found that in most papers kataegis was identified by inspecting the rainfall plot. And the only algorithm I found for kataegis detection is proposed by Alexandrov et al(2013, Nature, Signatures of mutational processes in human cancer), they exploited a segmentation algorithm(piecewise constant fitting) widely used in CNV estimation. I wonder if you have compared the performance of SeqKat with that of Alexandrov's method. How about the sensitivity SeqKat? And, do I need to manually review the result of SeqKat to filter some false discovery result? (Honestly, I don't like Alexandrov's method, it is too complex, but there is no publication about SeqKat, so I have to trouble you here) Thanks a lot!
Best, Yang