library(mcCNV)
library(rslurm)
library(data.table)
## Setup simulation
## Directory for storing the data
fdir <- file.path("/", "projects", "sequence_analysis", "vol5",
"dfiler", "CNV", "sim4Data")
## Set up the file system
if (dir.exists(fdir)) unlink(fdir, recursive = TRUE, force = TRUE)
dir.create(fdir)
pars <- data.table(rep = 1:500, fdir = fdir)
set.seed(2222)
pars[ , seed := sample(1e6, .N)]
savePool <- function(rep, seed, fdir) {
wndw <- c(35031844, 62614330)
smpls <- try(cnvGenPool(ns = 16, ne = 172736, wndw = wndw, seed = seed,
cw = 1:5, meanlog = -12.27, sdlog = 0.6588))
fname <- sprintf("sim_r%0.4d.RDS", rep)
saveRDS(smpls, file = file.path(fdir, fname))
!is(smpls, 'try-error')
}
slurm_apply(f = savePool,
params = pars,
nodes = nrow(pars),
cpus_per_node = 1,
jobname = "genSmpls4",
slurm_options = list(mem = 12000,
array = sprintf("0-%d%%%d",
nrow(pars) - 1,
1000),
'cpus-per-task' = 1,
error = "%A_%a.err",
output = "%A_%a.out",
time = "96:00:00"))
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