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We're testing PhylogicNDT on multi-sample sequencing data, and looking to better understand cluster CCF. In this run (see below), cluster 2 is descendent from cluster 1. However, samples T0, T6, and T8 show a higher CCF of cluster 2 mutations than cluster 1, and their confidence intervals do not overlap. Are we using the tool correctly, and is there a way to ensure that cluster CCFs follow the sum rule?
Thank you!
The text was updated successfully, but these errors were encountered:
There are a couple of possibilities:
One is that some of these clustered mutations are artifacts, in which case they should be blacklisted. Another is that the CCF calculations for some samples were based on inaccurate purity/ploidy calls.
Hello!
We're testing PhylogicNDT on multi-sample sequencing data, and looking to better understand cluster CCF. In this run (see below), cluster 2 is descendent from cluster 1. However, samples T0, T6, and T8 show a higher CCF of cluster 2 mutations than cluster 1, and their confidence intervals do not overlap. Are we using the tool correctly, and is there a way to ensure that cluster CCFs follow the sum rule?
Thank you!
The text was updated successfully, but these errors were encountered: