Nothing
.mutate <- function(nt){
## Function to mutate 1 given nucleotide
## nt: Nucletotide to mutate
nt.nms <- DNA_BASES
pnt <- rep(1/3, 4)
names(pnt) <- nt.nms
# The prob of the nt in sample is 0.
fnt <- pnt; fnt[nt] <- 0
return(sample(nt.nms, size=1, prob =fnt))
}
GenerateVars <-
function(seq, nhpl, max.muts, p.muts){
## Generate variants of a given haplotype
## seq: Sequence to create the variants
## nhpl: Number of haplotypes
## max.muts: Number maximum of mutatz
## p.muts: Probaility of mutation
if(!is(seq, "character"))
seq <- as.character(seq)
if( !all(strsplit(seq, "")[[1]] %in% DNA_BASES))
stop("The seq argument must be a DNA sequence \n")
if(!is(nhpl, "numeric"))
stop("The nhpl argument must be numeric \n")
if(length(p.muts) != max.muts)
stop("The p.muts argument must have the same length as max.muts \n")
# Probabiliy of mutation in %
p.muts <- p.muts/sum(p.muts)
# Split the reference sequence
ntv <- strsplit(seq,split="")[[1]]
# Set the number of mutations
n.muts <- sample(max.muts, size=nhpl, prob=p.muts, replace=TRUE)
len <- length(ntv)
vseqs <- character(nhpl)
# Create new sequences with mutations
for(i in seq_len(nhpl)){
ipos <- sample(len,n.muts[i], replace=FALSE)
nt.var <- vapply(ntv[ipos], .mutate, character(1))
mseq <- ntv
mseq[ipos] <- nt.var
vseqs[i] <- paste(mseq, collapse="")
}
return(vseqs)
}
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