Entering edit mode
3.2 years ago
Sara
▴
260
I have a big csv file with DNA sequences like this small example (infile.csv):
2840,GTGGCCCGGGAGGCC
291,GCATGTCCGTAGGTTCGT
147,GCATGTCCG
I need to translate each DNA sequence to peptide sequence and add the 3rd column which will be the peptide sequence. here is the expected output:
2840,GTGGCCCGGGAGGCC,VAREA
291,GCATGTCCGTAGGTTCGT,ACP*VR
147,GCATGTCCG,ACP
to do so, I made small following code:
import pandas
df = pandas.read_csv('infile.csv')
seq = csv_data[1]
def translate(seq):
table = {
'ATA':'I', 'ATC':'I', 'ATT':'I', 'ATG':'M',
'ACA':'T', 'ACC':'T', 'ACG':'T', 'ACT':'T',
'AAC':'N', 'AAT':'N', 'AAA':'K', 'AAG':'K',
'AGC':'S', 'AGT':'S', 'AGA':'R', 'AGG':'R',
'CTA':'L', 'CTC':'L', 'CTG':'L', 'CTT':'L',
'CCA':'P', 'CCC':'P', 'CCG':'P', 'CCT':'P',
'CAC':'H', 'CAT':'H', 'CAA':'Q', 'CAG':'Q',
'CGA':'R', 'CGC':'R', 'CGG':'R', 'CGT':'R',
'GTA':'V', 'GTC':'V', 'GTG':'V', 'GTT':'V',
'GCA':'A', 'GCC':'A', 'GCG':'A', 'GCT':'A',
'GAC':'D', 'GAT':'D', 'GAA':'E', 'GAG':'E',
'GGA':'G', 'GGC':'G', 'GGG':'G', 'GGT':'G',
'TCA':'S', 'TCC':'S', 'TCG':'S', 'TCT':'S',
'TTC':'F', 'TTT':'F', 'TTA':'L', 'TTG':'L',
'TAC':'Y', 'TAT':'Y', 'TAA':'*', 'TAG':'*',
'TGC':'C', 'TGT':'C', 'TGA':'*', 'TGG':'W',
}
protein =""
if len(seq)%3 == 0:
for i in range(0, len(seq), 3):
codon = seq[i:i + 3]
protein+= table[codon]
return protein
peptide_seq=translate(seq)
df[peptide_seq]
df.to_csv("outfile.csv")
but it does not return the expected output. do you know how I can change the code to get the expected output?