Reputation: 2666
Lets say I have a DNA sequence with an ambiguous base, N
, where N can represent any base (its a flex position).
dna.seq <- 'ATGCN'
I want a vector of every possible DNA sequence this could represent. It would look like:
c('ATGCA','ATGCT','ATGCG','ATGCC')
The solution needs to account for dna sequences with multiple N
characters as well, which will create many more potential DNA sequences.
Upvotes: 3
Views: 728
Reputation: 34703
CJ
from data.table
can help you here:
library(data.table)
dna.seq <- 'ATGCN'
# split into components
l = tstrsplit(dna.seq, '', fixed = TRUE)
# replace N with all possibilities
all_bases = c('A', 'T', 'C', 'G')
l = lapply(l, function(x) if (x == 'N') all_bases else x)
# use CJ and reduce to strings:
Reduce(paste0, do.call(CJ, l))
# [1] "ATGCA" "ATGCC" "ATGCG" "ATGCT"
Flexibility to handle multiple N
:
dna.seq <- 'ATNCN'
Reduce(paste0, do.call(CJ, l))
# [1] "ATACA" "ATACC" "ATACG" "ATACT" "ATCCA" "ATCCC" "ATCCG" "ATCCT"
# [9] "ATGCA" "ATGCC" "ATGCG" "ATGCT" "ATTCA" "ATTCC" "ATTCG" "ATTCT"
If you wanted to drop the data.table
dependency you could replace tstrsplit
with t(strsplit())
and CJ
with expand.grid
; you'll just be sacrificing computational speed.
Upvotes: 2
Reputation: 32548
dna.seq <- 'ATNGCN'
dna.seq.copy = dna.seq
while(grepl("N", dna.seq.copy[1])){
dna.seq.copy = as.vector(sapply(c("A", "C", "T", "G"), function(x) sub("N", x, dna.seq.copy)))
}
dna.seq.copy
# [1] "ATAGCA" "ATCGCA" "ATTGCA" "ATGGCA" "ATAGCC" "ATCGCC" "ATTGCC" "ATGGCC" "ATAGCT" "ATCGCT" "ATTGCT" "ATGGCT" "ATAGCG" "ATCGCG" "ATTGCG"
#[16] "ATGGCG"
Upvotes: 2