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F4-statistics from unlinked SNPs of SNP array #3
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Hi, |
Thank you for the prompt response even on sunday (I really appreciate it). Apart from SNP array, I also have WGS-SNPs, therefore, there, I could use random SNPs situated at relatively distant places along the genome. And yes, Indeed, I was worried about how using different blocks of jackknifing affect the Z-values, that is why I wanted to use this tool! My only worry was whether the simulation parameters as carried out by fastsimcaol2 (in F4.py) is specific to RAD-seq (like generated SNPs in block). |
With WGS-SNPs, I probably would not worry too much about linkage in the calculation of D or F4. You could of course try with or without thinning the dataset, but I wouldn't expect much difference (unless a gigantic inversion region has a large influence or similar). But the F4 tool is definitely applicable to data other than RAD-seq data. In that sense, SNP array data should be fine. |
Okay, thank you again for the prompt response! I will try this tool as well as D-suite tool on my WGS as well as as SNP array data. |
I have a question associated with the usage of this tool, can this tool be used tool to calculate F4-statistics on my data that consists of unlinked SNPs from SNP array? Will the simulation by fastsimcoal2 (as run by F4.py) affected by it?
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