我有一份文件看起来是这样的:
Type Variant_class ACC_NUM dbsnp genomic_coordinates_hg18 genomic_coordinates_hg19 HGVS_cdna HGVS_protein gene disease sequence_context_hg18 sequence_context_hg19 codon_change codon_number intron_number site location location_reference_point author journal vol page year pmid entrezid sift_score sift_prediction mutpred_score
1 DM CM920001 rs1800433 null chr12:9232351:- NM_000014.4 NP_000005.2:p.C972Y A2M Chronicobstructivepulmonarydisease null CACAAAATCTTCTCCAGATGCCCTATGGCT[G/A]TGGAGAGCAGAATATGGTCCTCTTTGCTCC TGT TAT 972 null null 2 null Poller HUMGENET 88 313 1992 1370808 2 0 DAMAGING 0.594315245478036
1 DM CM004784 rs74315453 null chr22:43089410:- NM_017436.4 NP_059132.1:p.M183K A4GALT Pksynthasedeficiency(pphenotype) null TGCTCTCCGACGCCTCCAGGATCGCACTCA[T/A]GTGGAAGTTCGGCGGCATCTACCTGGACAC ATG AAG 183 null null 2 null Steffensen JBC 275 16723 2000 10747952 53947 0 DAMAGING 0.787878787878788我想把第13栏和第14栏的信息翻译成相应的氨基酸。下面是我生成的脚本:
from Bio.Seq import Seq
from Bio.Alphabet import generic_dna
InFile = open("disease_mut_splitfinal.txt", 'rU')
InFile.readline()
OriginalSeq_list = []
MutSeq_list = []
import csv
with open("disease_mut_splitfinal.txt") as f:
reader = csv.DictReader(f, delimiter= "\t")
for row in reader:
OriginalSeq = row['codon_change']
MutSeq = row['codon_number']
region = row["genomic_coordinates_hg19"]
gene = row["gene"]
OriginalSeq_list.append(OriginalSeq)
MutSeq_list.append(MutSeq)
OutputFileName = "Translated.txt"
OutputFile = open(OutputFileName, 'w')
OutputFile.write(''+region+'\t'+gene+'\n')
for i in range(0, len(OriginalSeq_list)):
OrigSeq = OriginalSeq_list[i]
MutSEQ = MutSeq_list[i]
print OrigSeq
translated_original = OrigSeq.translate()
translated_mut= MutSEQ.translate()
OutputFile.write("\n" + OriginalSeq_list[i]+ "\t" + str(translated_original) + "\t" +MutSeq_list[i] + "\t" + str(translated_mut)+ "\n")但是,我一直收到这样的错误:
TypeError: translate expected at least 1 arguments, got 0我对自己做错了什么感到不知所措。有什么建议吗?
(即使您没有dropbox,文件仍然可以下载)
发布于 2015-05-05 13:53:38
您使用的是string方法" translate“,而不是biopython对象方法翻译,这正是我假设您想要做的。您需要将字符串转换为seq对象,然后进行转换。试一试
from Bio import Seq
OrigSeq = Seq.Seq(OriginalSeq_list[i])
translated_original = OrigSeq.translate()另一个选择
from Bio.Seq import Seq
OrigSeq = Seq(OriginalSeq_list[i])
translated_original = OrigSeq.translate()https://stackoverflow.com/questions/30054745
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