按'>名称'和'序列'组织字符串列表。蟒蛇

时间:2013-03-21 22:10:27

标签: python string list while-loop append

所以我有一个从文件(查询)读取的字符串列表。我想追加所有以“>”开头的行到一个名为name_list的列表和它后面的所有字母字符(但在下一个“>”行之前)到列表。这是我之前关于集合理论的非常类似的问题,但当我试图操纵 while循环时,它陷入了无限的反馈循环......

这是一个字符串列表

的示例
query = [">mm10_refGene_NM_001011532 range=chr2:86084810-86085854 5'pad=0 3'pad=0 strand=- repeatMasking=none", 'caatgcctttgcctcactgataatttctattagtcttatcttatttcatt', 'ttactttgcagctgttaagacttgatgaaATGGCTGGAAGCAATGCCACT', 'GGTGTGACAGAATTCATTCTCTTGGGGTTTGCAGTCCAGAGAGAGGTAGA',">mm10_refGene_NM_001011534 range=chr2:85352995-85353924 5'pad=0 3'pad=0 strand=- repeatMasking=none", 'ATGGAACAAAGTAATGACACCAAAGTGACTGAATTCATTCTTCTGGGATT', 'TTCCGGACAGCACAAATCTTGGCACATTCTGTTCATAATATTTCTAATGA', 'TCTATGTTGTCACACTCATGGGTAACATTGGAATGATCGTACTCATCAAA']

这是我一直在使用的代码:

name_list = []
seq_list = []

for line in query:

    while line.startswith(">"):
        name=line
        temp_seq=[]

        for line in query:
            if line.isalpha()==True:
                temp_seq.append(line)


            else:
                break
        name_list.append(name)
        seq_list.append(''.join(temp_seq))

输出数据示例:

name_list = [">mm10_refGene_NM_001011532 range=chr2:86084810-86085854 5'pad=0 3'pad=0 strand=- repeatMasking=none",">mm10_refGene_NM_001011534 range=chr2:85352995-85353924 5'pad=0 3'pad=0 strand=- repeatMasking=none"]

seq_list = ['caatgcctttgcctcactgataatttctattagtcttatcttatttcattttactttgcagctgttaagacttgatgaaATGGCTGGAAGCAATGCCACTGGTGTGACAGAATTCATTCTCTTGGGGTTTGCAGTCCAGAGAGAGGTAGA','ATGGAACAAAGTAATGACACCAAAGTGACTGAATTCATTCTTCTGGGATTTTCCGGACAGCACAAATCTTGGCACATTCTGTTCATAATATTTCTAATGATCTATGTTGTCACACTCATGGGTAACATTGGAATGATCGTACTCATCAAA']

很抱歉,如果这与(Search for word (from list of words) in line (from list of lines) and append values to new list. Python)类似,并且在任何方面都是多余的,但我认为帮助处理此类数据的人是一个很好的问题。

3 个答案:

答案 0 :(得分:0)

name_list = []
seq_list = []

lines = iter(query)
for line in lines:
    while line.startswith(">"):
        name = line
        temp_seq = []
        for line in lines:
            if line.isalpha():
                temp_seq.append(line)
            else:
                break
        name_list.append(name)
        seq_list.append(''.join(temp_seq))

答案 1 :(得分:0)

以下是对代码的修改,它一次循环查询一个元素:

name_list = []
seq_list = []

seq = ""
for line in query:
    if line.startswith('>'):
        if seq:
            seq_list.append(seq)
            seq = ""
        name_list.append(line)
    elif line.isalpha():
        seq = seq + line
seq_list.append(seq)

但是,在您提供的示例中,query具有一致的“名称”模式,后跟3个“序列”。如果您的数据始终遵循这种一致的模式,那么这是另一种方法。您可以定义一个名为groupertaken from the itertools docs)的函数,它可以让您一次读取query的4个元素。

from itertools import izip_longest

def grouper(n, iterable, fillvalue=None):
    "Collect data into fixed-length chunks or blocks"
    # grouper(3, 'ABCDEFG', 'x') --> ABC DEF Gxx
    args = [iter(iterable)] * n
    return izip_longest(fillvalue=fillvalue, *args)

现在,对于query的每个4元素“块”,将第一个元素追加到“names”,并将最后一个元素连接到“序列”:

names = []
sequences = []

for chunk in grouper(4, query):
    names.append(chunk[0])
    sequences.append(''.join(chunk[1:]))

print names
print sequences

输出:

[">mm10_refGene_NM_001011532 range=chr2:86084810-86085854 5'pad=0 3'pad=0 strand=- repeatMasking=none", ">mm10_refGene_NM_001011534 range=chr2:85352995-85353924 5'pad=0 3'pad=0 strand=- repeatMasking=none"]
['caatgcctttgcctcactgataatttctattagtcttatcttatttcattttactttgcagctgttaagacttgatgaaATGGCTGGAAGCAATGCCACTGGTGTGACAGAATTCATTCTCTTGGGGTTTGCAGTCCAGAGAGAGGTAGA', 'ATGGAACAAAGTAATGACACCAAAGTGACTGAATTCATTCTTCTGGGATTTTCCGGACAGCACAAATCTTGGCACATTCTGTTCATAATATTTCTAATGATCTATGTTGTCACACTCATGGGTAACATTGGAATGATCGTACTCATCAAA']

答案 2 :(得分:0)

您可以使用itertools.groupby非常直接地执行此操作:

from itertools import groupby

def name_seq_chunks(seq): 
    isheader = lambda l:l.startswith('>')
    header = None
    for startgroup, dataiter in groupby(seq, isheader):
        if startgroup is True:
            header = list(dataiter)[-1]
        elif startgroup is False:
            yield header, ''.join(dataiter)

print list(name_seq_chunks(query))

这将产生一个像[('>header', 'caatgccttt...'), ...]这样的元组列表。如果你真的希望它们分开,你可以重新压缩列表:

names, seqs = zip(*name_seq_chunks(query))