GC: Computing GC Content | Ben Cunningham

# GC: Computing GC Content

Problem by Rosalind · on August 2, 2012

The GC-content of a DNA string is given by the percentage of symbols in the string that are ‘C’ or ‘G’. For example, the GC-content of “AGCTATAG” is 37.5%. Note that the reverse complement of any DNA string has the same GC-content.

DNA strings must be labeled when they are consolidated into a database. A commonly used method of string labeling is called FASTA format. In this format, the string is introduced by a line that begins with ‘>’, followed by some labeling information. Subsequent lines contain the string itself; the first line to begin with ‘>’ indicates the label of the next string.

In Rosalind’s implementation, a string in FASTA format will be labeled by the ID “Rosalind_xxxx”, where “xxxx” denotes a four-digit code between 0000 and 9999.

Given: At most 10 DNA strings in FASTA format (of length at most 1 kbp each).

Return: The ID of the string having the highest GC-content, followed by the GC-content of that string. Rosalind allows for a default error of 0.001 in all decimal answers unless otherwise stated; please see the note on absolute error below.

## Sample Dataset

>Rosalind_6404
CCTGCGGAAGATCGGCACTAGAATAGCCAGAACCGTTTCTCTGAGGCTTCCGGCCTTCCC
TCCCACTAATAATTCTGAGG
>Rosalind_5959
CCATCGGTAGCGCATCCTTAGTCCAATTAAGTCCCTATCCAGGCGCTCCGCCGAAGGTCT
ATATCCATTTGTCAGCAGACACGC
>Rosalind_0808
CCACCCTCGTGGTATGGCTAGGCATTCAGGAACCGGAGAACGCTTCAGACCAGCCCGGAC
TGGGAACCTGCGGGCAGTAGGTGGAAT


## Sample Output

Rosalind_0808
60.919540


# R

library(dplyr)
library(seqinr)
library(stringr)

f <- "gc.txt"

dna <-
data_frame(
raw = read.fasta(f, as.string = TRUE),
id = names(raw),
s = toupper(raw),
gc = (str_count(s, "G|C") / nchar(s)) * 100
) %>%
filter(gc == max(gc))

cat(dna$id, dna$gc, sep = "\n")

Rosalind_0808
60.91954