2016-11-27 15 views
3

私はPythonを使用してDNA配列のセットをアミノ酸(タンパク質)配列に変換するプログラムを作成しています。次に、特定のサブシーケンスを見つけ、この特定のサブシーケンスが存在するシーケンスの数を数えます。Pythonプログラミングを使用して一連のDNA配列をタンパク質配列に変換する方法は?

#Open cDNA_sequences file and read in line by line 
with open('cDNA_sequences.csv', 'r') as results: 

    for line in results: 

     columns = line.rstrip("\n").split(",") #remove end of line characters and split commas to produce a list 
     ensemblID = columns[0] #ensemblID is first element in our list 
     dna_seq = columns[1] #dna_seq is second element in our list 
     genetic code = { 


     "UUU":"F", "UUC":"F", "UUA":"L", "UUG":"L", 
     "UCU":"S", "UCC":"s", "UCA":"S", "UCG":"S", 
     "UAU":"Y", "UAC":"Y", "UAA":"STOP", "UAG":"STOP", 
     "UGU":"C", "UGC":"C", "UGA":"STOP", "UGG":"W", 
     "CUU":"L", "CUC":"L", "CUA":"L", "CUG":"L", 
     "CCU":"P", "CCC":"P", "CCA":"P", "CCG":"P", 
     "CAU":"H", "CAC":"H", "CAA":"Q", "CAG":"Q", 
     "CGU":"R", "CGC":"R", "CGA":"R", "CGG":"R", 
     "AUU":"I", "AUC":"I", "AUA":"I", "AUG":"M", 
     "ACU":"T", "ACC":"T", "ACA":"T", "ACG":"T", 
     "AAU":"N", "AAC":"N", "AAA":"K", "AAG":"K", 
     "AGU":"S", "AGC":"S", "AGA":"R", "AGG":"R", 
     "GUU":"V", "GUC":"V", "GUA":"V", "GUG":"V", 
     "GCU":"A", "GCC":"A", "GCA":"A", "GCG":"A", 
     "GAU":"D", "GAC":"D", "GAA":"E", "GAG":"E", 
     "GGU":"G", "GGC":"G", "GGA":"G", "GGG":"G",} #genetic code, telling into which amino acids the DNA triplets translate 

     for i in range (0, len(dna_seq), 3): 
      codon = dna_seq[i:i+3] 
      protein += genetic_code [codon] 
     print (protein)      

    enterokinase_motif = "DDDDK" 
    proline_motif = "DDDDKP" 
    motif_number = 0 
    if enterokinase_motif in line: 
     motif_number = motif_number + 1; 
    elif proline_number in line: 
     motif_number = motif_number; 
    else: 
     motif_number = motif_number 
    print ("The number of sequences containing one or more enterokinase motifs is []".format(motif_number)) 

私はトラブルタンパク質配列のDNA配列に変換するためのコードを書いを持っています:これは私がこれまで持っているコードです。

+1

また、サンプル入力と所望の出力を明記してください –

答えて

4

Biopythonについてお読みください。それは、生物学とバイオインフォマティクスに関連する便利な機能とクラスを備えています。

それはあなたが探しているものを行う関数があります:あなたは、コード例を持っている。ここBio.Seq.translate

を:

>>> coding_dna = "GTGGCCATTGTAATGGGCCGCTGAAAGGGTGCCCGATAG" 
>>> translate(coding_dna) 
'VAIVMGR*KGAR*' 
>>> translate(coding_dna, stop_symbol="@") 
'[email protected]@' 
>>> translate(coding_dna, to_stop=True) 
'VAIVMGR' 
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