∂a∂i implements methods for demographic history and selection inference from genetic data, based on diffusion approximations to the allele frequency spectrum. One of ∂a∂i's main benefits is speed: fitting a two-population model typically takes around 10 minutes, and run time is independent of the number of SNPs in your data set. ∂a∂i is also flexible, handling up to three simultaneous populations, with arbitrary timecourses for population size and migration, plus the possibility of admixture and population-specific selection.
module spider dadi to find out what environment modules are available for this application.
- HPC_DADI_DIR - installation directory
- HPC_DADI_BIN -executable directory
- HPC_DADI_DOC - documentation directory
- HPC_DADI_EXE - example directory
If you publish research that uses dadi you have to cite it as follows:
RN Gutenkunst, RD Hernandez, SH Williamson, CD Bustamante "Inferring the joint demographic history of multiple populations from multidimensional SNP data" PLoS Genetics 5:e1000695 (2009).