| msprime_genome | R Documentation | 
This function generates an msprime simulation script, and optionally executes it in python.
Unlike msprime_sim, this function can simulate continuous sequence (not independent SNPs) and multiple chromosomes.
msprime_genome(
  graph,
  outpref = "msprime_sim",
  neff = 1000,
  ind_per_pop = 1,
  mutation_rate = 1.25e-08,
  time = 1000,
  fix_leaf = FALSE,
  nchr = 1,
  recomb_rate_chr = 2e-08,
  seq_length = 1000,
  admix_default = 0.5,
  run = FALSE,
  ghost_lineages = FALSE,
  shorten_admixed_leaves = FALSE
)
graph | 
 A graph as an   | 
outpref | 
 A prefix of output files.  | 
neff | 
 Effective population size (in diploid individuals). If a scalar value, it will be constant across all populations. Alternatively, it can be a named vector with a different value for each population (e.g.,   | 
ind_per_pop | 
 The number of diploid individuals to simulate for each population. If a scalar value, it will be constant across all populations.
Alternatively, it can be a named vector with a different value for each population (e.g.,   | 
mutation_rate | 
 Mutation rate per site per generation. The default is   | 
time | 
 Either a scalar value (1000 generations by default) with the dates generated by   | 
fix_leaf | 
 A boolean value specifying if the dates  of the leaf nodes will be fixed at time 0. If   | 
nchr | 
 Number of chromosomes to simulate.  | 
recomb_rate_chr | 
 A float value specifying recombination rate along the chromosomes. The default is   | 
seq_length | 
 The sequence length of the chromosomes. If it is a scalar value, the sequence length will be constant for all chromosomes.
Alternatively, it can be a vector with a length equal to the number of chromosomes (i.e.,   | 
admix_default | 
 A float value specifying default admixture proportion for all admixture nodes. The default is   | 
run | 
 If   | 
ghost_lineages | 
 A boolean value specifying whether ghost lineages will be allowed.
If   | 
shorten_admixed_leaves | 
 If   | 
The file name and path of the simulation script
results = qpgraph(example_f2_blocks, example_graph)
# Simulate 3 chromosomes whose lengths are 50, 100 and 100
msprime_genome(results$edges, nchr=3, seq_length=c(50, 100, 100))
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