我有像这样的pandas加载的contig文件:
>NODE_1_length_4014_cov_1.97676
1 AATTAATGAAATAAAGCAAGAAGACAAGGTTAGACAAAAAAAAGAG...
2 CAAAGCCTCCAAGAAATATGGGACTATGTGAAAAGACCAAATCTAC...
3 CCTGAAAGTGACGGGGAGAATGGAACCAAGTTGGAAAACACTCTGC...
4 GAGAACTTCCCCAATCTAGCAAGGCAGGCCAACATTCAAATTCAGG...
5 CCACAAAGATACTCCTCGAGAAGAGCAACTCCAAGACACATAATTG...
6 GTTGAAATGAAGGAAAAAATGTTAAGGGCAGCCAGAGAGAAAGGTC...
7 GGGAAGCCCATCAGACTAACAGCGGATCTCTCGGCAGAAACCCTAC...
8 TGGGGGCCAATATTCAACATTCTTAAAGAAAAGAATTTTCAACCCA...
9 GCCAAACTAAGCTTCATAAGCAAAGGAGAAATAAAATCCTTTACAG...
10 AGAGATTTTGTCACCACCAGGCCTGCCTTACAAGAGCTCCTGAAGG...
11 GAAAGGAAAAACCGGTACCAGCCACTGCAAAATCATGCCAAACTGT...
12 CTAGGAAGAAACTGCATCAACTAATGAGCAAAATAACCAGCTAACA...
13 TCAAATTCACACATAACAATATTAACCTTAAATGTAAATGGGCTAA...
14 AGACACAGACTGGCAAATTGGATAAAGAGTCAAGACCCATCAGTGT...
15 ACCCATCTCAAATGCAGAGACACACATAGGCTCAAAATAAAGGGAT...
16 CAAGCAAATGGAAAACAAAAAAAGGCAGGGGTTGCAATCCTAGTCT...
17 TTTAAACCAACAAAGATCAAAAGAGACAAAGAAGGCCATTACATAA...
18 ATTCAACAAGAAGAGCTAACTATCCTAAATATATATGCACCCAATA...
19 TTCATAAAGCAAGTCCTCAGTGACCTACAAAGAGACTTAGACTCCC...
20 GGAGACTTTAACACCCCACTGTCAACATTAGACAGATCAACGAGAC...
21 GATATCCAGGAATTGAACTCAGCTCTGCACCAAGCGGACCTAATAG...
22 CTCCACCCCAAATCAACAGAATATACATTCTTTTCAGCACCACACC...
23 ATTGACCACATAGTTGGAAGTAAAGCTCTCCTCAGCAAATGTAAAA...
24 ACAAACTGTCTCTCAGACCACAGTGCAATCAAATTAGAACTCAGGA...
25 CAAAACTGCTCAACTACATGAAAACTGAACAACCTGCTCCTGAATG...
26 AACAAAATGAAGGCAGAAATAAAGATGTTCTTTGAAACCAATGAGA...
27 TACCAGAATCTCTGGGACGCATTCAAAGCAGTGTGTAGAGGGAAAT...
28 GCCCACAAGAGAAAGCAGGAAAGATCTAAAATTGACACCCTAACAT...
29 CTAGAGAAGCAAGAGCAAACACATTCAAAAGCTAGCAGAAGGCAAG...
...
8540 >NODE_2518_length_56_cov_219
8541 CCCTTGTTGGTGTTACAAAGCCCTTGAACTACATCAGCAAAGACAA...
8542 >NODE_2519_length_56_cov_174
8543 CCGACTACTATCGAATTCCGCTCGACTACTATCGAATTCCGCTCGA...
8544 >NODE_2520_length_56_cov_131
8545 CCCAGGAGACTTGTCTTTGCTGATGTAGTTCAAGAGCTTTGTAACA...
8546 >NODE_2521_length_56_cov_118
8547 GGCTCCCTATCGGCTCGAATTCCGCTCGACTATTATCGAATTCCGC...
8548 >NODE_2522_length_56_cov_96
8549 CCCGCCCCCAGGAGACTTGTCTTTGCTGATAGTAGTCGAGCGGAAT...
8550 >NODE_2523_length_56_cov_74
8551 AGAGACTTGTCTTTGCTGATGTAGTTCAAGGGCTTTGTAACACCGA...
8552 >NODE_2524_length_56_cov_70
8553 TGCTCGACTACTATCGAATTCCGCTCGACTACTATCGAATTCCGCT...
8554 >NODE_2525_length_56_cov_59
8555 GAGACCCTTGTCGGTGTTACAAAGCCCTTTAACTACATCAGCAAAG...
8556 >NODE_2526_length_56_cov_48
8557 CCGACTACTATCGAATTCCGCTCGACTACTATCGAATTCCGCTCGA...
8558 >NODE_2527_length_56_cov_44
8559 CCAAGGGCTTTGTAACACCGACAAGGGTCTCGAAAACATCGGCATT...
8560 >NODE_2528_length_56_cov_42
8561 GAGACCCTTGTAGGTGTTACAAAGCCCTTGAACTACATCAGCAAAG...
8562 >NODE_2529_length_56_cov_38
8563 GAGACCCTTGTCGGTGTCACAAAGCCCTTGAACTACATCAGCAAAG...
8564 >NODE_2530_length_56_cov_29
8565 GAGGGCTTTGTAACACCGACAAGGGTCTCGAAAACATCGGCATTCT...
8566 >NODE_2531_length_56_cov_26
8567 AGGTTCAAGGGCTTTGTAACACCGACAAGGGTCTCGAAAACATCGG...
8568 >NODE_2532_length_56_cov_25
8569 GAGATGTGTATAAGAGACTTGTCTTTGCTGATGTAGTTCAAGGGCT...
如何将这一列拆分为两列,在一列中生成> NODE _......并在另一列中生成相应的序列?另一个问题是序列是多行的,如何将它们组成一个字符串?结果预期如下:
contig sequence
NODE_1_length_4014_cov_1.97676 AAAAAAAAAAAAAAA
NODE_........ TTTTTTTTTTTTTTT
非常感谢。
答案 0 :(得分:0)
我无法重现您的示例,但我的猜测是您正在使用未以表格格式格式化的pandas加载文件。从您的示例看,您的文件格式化为:
>Identifier
sequence
>Identifier
sequence
在将信息放入pandas数据帧之前,您必须先解析文件。如果该行以'>节点'开头,则逻辑将循环遍历文件的每一行。您将该行存储为标识符。如果不是,则将它们连接到序列值。像这样:
testfile = '>NODE_1_length_4014_cov_1.97676\nAAAAAAAATTTTTTCCCCCCCGGGGGG\n>NODE_2518_length_56_cov_219\nAAAAAAAAGCCCTTTTT'.split('\n')
identifiers = []
sequences = []
current_sequence = ''
for line in testfile:
if line.startswith('>'):
identifiers.append(line)
sequences.append(current_sequence)
current_sequence = ''
else:
current_sequence += line.strip('\n')
df = pd.DataFrame({'identifiers' = identifiers,
'sequences' = sequences})
此代码是否有效取决于您未提供的输入详细信息,但这可能会让您入门。