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.get.nt <- function(x){
## Helper function to obtain the most abundant
## nucleotide.
idx <- which(x == max(x))
# If there is 1 return this
if(length(idx) < 2) return(idx)
# If 2 are maxim return 1 randomly
return(sample(idx, 1))
}
ConsSeq <-
function(seqs, w=NULL){
## Computes the consensus sequence given alignment
## and frequencies
# seqs: a DNAStringSet with haplotypes
# w: a vector of haplotype counts
if(!is(seqs, "DNAStringSet") & !is(seqs, "AAStringSet"))
stop("The input object must be a DNAStringSet or AAStringSet \n")
if(is.null(w)) w <- rep(1, length(seqs))
if(length(seqs) != length(w))
stop("The input objects must have the same length \n")
# Load nucleotide bases
bnms <- DNA_BASES
# Or load amino acids if is an AAStringSet
if(is(seqs, "AAStringSet")) bnms <- AA_ALPHABET
# Compute the matrix of frequency
ntm <- FreqMat(seqs, w)
# Obtain the most abundant nucleotide
imx <- apply(ntm, 2, .get.nt)
return(paste(bnms[imx], collapse=""))
}
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