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Thomas Krahn now told me this:
Cladefinder essentially looks for the longest consistent path with the YFull tree from the given derived and ancestral SNP results. Positive SNPs increase the scoring and negative SNPs that are inconsistent with the tree position decrease the scoring. The path with the highest score is considered as the most likely position on the tree. In a small link at the bottom we also give the second best position from the scoring.
The details can be found in the function getPathScores:
https://github.com/.../blob/master/C...mmonMethods.py
There are a few unreliable SNPs in that area of R1a on the YFull tree that may throw off the scores due to bleeding over from highly similar X chromosome locations. Especially microarray data from low quality samples may have some significant noise which affects the scoring.
Btw. I find it surprising that negative tested SNPs that are inconsistent with the tree position do not exclude that position entirely.
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