Hi everyone,
I have a population genetics dataset for several sampling location, with sample size N varying sometimes quite much (sometimes by a factor 2 between two different locations). I would like to standardize my genetic diversity estimations by taking in account the smallest N in my data, but classical approaches (e.g. rarefaction approaches to assess allelic richness AR with µsats) seem quite unrelevant since I am working with bi-allelic markers (~150 SNPs). I would rater use polymorphism rate P.
I would like to know if you've ever heard about a sotfware or R package that would automatically correct for sample size difference when estimating polymorphism rate?
Otherwise I guess I'll have to implement a sub-sampling procedure in R myself to standardize the information... :-)
Thank you very much for any help!
Cheers,
Chrys