simulCoalescent | R Documentation |
Simulate haplotypes according to an approximation to the coalescent with recombination named the Sequential Coalescent with Recombination Model. Requires the scrm package (Staab et al, 2014).
simulCoalescent(
nb.inds = 500,
ind.ids = NULL,
nb.reps = 10,
pop.mut.rate = 40,
pop.recomb.rate = 40,
chrom.len = 5 * 10^5,
other = NULL,
nb.pops = 1,
mig.rate = 5,
get.trees = FALSE,
get.tmrca = FALSE,
get.alleles = FALSE,
permute.alleles = TRUE,
verbose = 1
)
nb.inds |
diploids (thus nb of haplotypes is 2 * nb.inds) |
ind.ids |
vector of identifiers (one per genotype) |
nb.reps |
number of independent loci that will be produced (could be seen as distinct chromosomes) |
pop.mut.rate |
theta = 4 N0 mu |
pop.recomb.rate |
rho = 4 N0 r |
chrom.len |
in bp |
other |
character vector of length 1 with other parameters to the simulator (e.g. time-specific parameters such as "-G 6.93 -eG 0.2 0.0 -eN 0.3 0.5") |
nb.pops |
number of populations ( |
mig.rate |
migration rate = 4 N0 m (will be symmetric) |
get.trees |
get gene genealogies in the Newick format |
get.tmrca |
get time to most recent common ancestor and local tree lengths |
get.alleles |
get fake alleles sampled in A,T,G,C |
permute.alleles |
if TRUE, the reference alleles are randomly chosen between ancestral and derived alleles |
verbose |
verbosity level (0/1/2) |
list with haplotypes (list), genotypes as allele doses (matrix) and SNP coordinates (data.frame)
Timothee Flutre
segSites2snpCoords
, permuteAllelesInHaplosNum
, segSites2allDoses
, simulRefAltSnpAlleles
, makeCrosses
## Not run: ## simulate haplotypes and genotypes in a single population
nb.genos <- 200
Ne <- 10^4
chrom.len <- 10^5
mu <- 10^(-8)
c <- 10^(-8)
genomes <- simulCoalescent(nb.inds=nb.genos,
pop.mut.rate=4 * Ne * mu * chrom.len,
pop.recomb.rate=4 * Ne * c * chrom.len,
chrom.len=chrom.len)
## End(Not run)
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