Open cistarsa opened 2 years ago
Hello and thank you for using RAISD. I do not know if and how this can be done using the window size or muLD. If you know the recombination rate of a region, perhaps you can use the corresponding alpha value of that region that SweeD reports (not RAiSD in this case). There is a relationship that relates alpha, the recombination rate, the selection coefficient, and the population size, from which you could calculate the selection coefficient.
On Wed, Dec 8, 2021 at 12:07 AM cistarsa @.***> wrote:
Hello and thank you developing this nifty (and easy to implement) program! I've had success identifying swept regions in two divergent populations (n=25 & 28) and I'm wondering if I can infer the relative timing of the sweep using the window size, or muLD alone?
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Great, thank you for the quick reply! Hm. Interesting, I do have N estimates from dadi and staiwayplot, but these are not window based or even chromosmal....would a population level estimates suffice for alpha=4Ns. I do have "scaffold" level recombination rates from pyrho. Yet it seems sweed estimates these parameters from input (vcf)? If that's enough than I can run sweed and compare with raisd, then estimate s...? (sorry for the train of thought response) And thanks again for your insight!
Hello again, I've been trying to determine common outliers with Sweed results of various grid sizes, but I'm receiving this error:
gsl: interp.c:37: ERROR: insufficient number of points for interpolation type
Here, I'm using a grid size of 10,000 on 153 scaffolds with an N50 of 15MB; is it possible to run Raisd without the grid option and compare windows with sweed using something like bedtools intersect to find shared CLR?
Hi. Sorry, I missed your previous post. The grid option is needed if you want to use the built-in option of RAiSD for the common-outlier analysis. You can try a small grid size first, e.g., 10 or 100, instead of 10,000. You can gradually increase it until RAiSD starts giving this error. Then, use this grid size (the max grid size for which RAiSD does not give the error) for SweeD. I hope this helps.
On Mon, Dec 13, 2021 at 6:33 PM cistarsa @.***> wrote:
Hello again, I've been trying to determine common outliers with Sweed results of various grid sizes, but I'm receiving this error:
gsl: interp.c:37: ERROR: insufficient number of points for interpolation type
Here, I'm using a grid size of 10,000 on 153 scaffolds with an N50 of 15MB; is it possible to run Raisd without the grid option and compare windows with sweed using something like bedtools intersect to find shared CLR?
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-- Nikolaos Alachiotis
no worries at all! Thanks that's helpful and is there a way to iteratively test the grid size or a lower limit? Still getting this error at -G 5.
Hello and thank you developing this nifty (and easy to implement) program! I've had success identifying swept regions in two divergent populations (n=25 & 28) and I'm wondering if I can infer the relative timing of the sweep using the window size, or muLD alone?