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I am using Hapbin for WGS in cattle. I do not have genetic distance because I do not know recombination rates. Can I just use divide physical location by a 1 million to get the genetic distance for your software?
Secondly, dimensions of my largest chromosome are 443000 SNPs and 13 K animals and it is taking around 12 days to calculate his of one chromosome. Is there a way I can make it more efficient?
Thanks
The text was updated successfully, but these errors were encountered:
Hi
Ideally would use genetic distance, but yes for mammals people often assume
1cM/Mb when there is no recombination map available (including us
https://www.nature.com/articles/s41467-020-18550-1).
13,000 is a lot of samples so it would potentially take some time. However
you will probably find if calculate iHS on a random subset of the samples
the results are largely the same as the iHS on the total dataset but will
run faster. You can test this by taking various random subsets of different
sizes and see how the iHS values converge on given values. It will likely
plateau at a much smaller sample size.
Hope that helps.
James
On Fri, 8 Jan 2021 at 17:04, Muhammad Yasir Nawaz ***@***.***> wrote:
Hi,
I am using Hapbin for WGS in cattle. I do not have genetic distance
because I do not know recombination rates. Can I just use divide physical
location by a 1 million to get the genetic distance for your software?
Secondly, dimensions of my largest chromosome are 443000 SNPs and 13 K
animals and it is taking around 12 days to calculate his of one chromosome.
Is there a way I can make it more efficient?
Thanks
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Hi,
I am using Hapbin for WGS in cattle. I do not have genetic distance because I do not know recombination rates. Can I just use divide physical location by a 1 million to get the genetic distance for your software?
Secondly, dimensions of my largest chromosome are 443000 SNPs and 13 K animals and it is taking around 12 days to calculate his of one chromosome. Is there a way I can make it more efficient?
Thanks
The text was updated successfully, but these errors were encountered: