Hi Aaron,
Thanks for providing such an amazing tool. I basically have two questions when applying clues to my real genome data.
To answer these questions, does that mean I need to scan each SNP along the whole genome? Then for each SNP, I could have the scan results, e.g:
Loading data and initializing model...
(100, 1) (100, 21)
Optimizing likelihood surface using Nelder-Mead...
(Importance sampling with M = 100 Relate samples)
##########
logLR: 0.2364
MLE:
========
epoch selection
0-1000 0.00254
0
And then logLR: 0.2364 indicates the likelihood of the SNP under selection? and 0.00254 being the selection coefficient?
If so, then I think the biggest challenge is compuation if all the SNPs are scanned individually, which might take many weeks...
In short for my question, is 'clues' suitable for genome-wide scan without any knowledge of candidate SNPs?
Thanks very much!
Yiguan
Hi Aaron,
Thanks for providing such an amazing tool. I basically have two questions when applying
cluesto my real genome data.which SNPs in under selection?
what's the selection coefficicents for the SNPs unders selection?
To answer these questions, does that mean I need to scan each SNP along the whole genome? Then for each SNP, I could have the scan results, e.g:
And then
logLR: 0.2364indicates the likelihood of the SNP under selection? and0.00254being the selection coefficient?If so, then I think the biggest challenge is compuation if all the SNPs are scanned individually, which might take many weeks...
In short for my question, is 'clues' suitable for genome-wide scan without any knowledge of candidate SNPs?
Thanks very much!
Yiguan