如果您正在使用FASTA文件时使用BioPython，获得n序列使用random.sample：
from Bio import SeqIO
from random import sample
with open("foo.fasta") as f:
seqs = SeqIO.parse(f,"fasta")
print(sample(list(seqs), 2))
输出：
[SeqRecord(seq=Seq('GAGATCGTCCGGGACCTGGGT', SingleLetterAlphabet()), id='chr1:1154147-1154167', name='chr1:1154147-1154167', description='chr1:1154147-1154167', dbxrefs=[]), SeqRecord(seq=Seq('GTCCGCTTGCGGGACCTGGGG', SingleLetterAlphabet()), id='chr1:983001-983021', name='chr1:983001-983021', description='chr1:983001-983021', dbxrefs=[])]
您可以根据需要提取字符串：
print([(seq.name,str(seq.seq)) for seq in sample(list(seqs),2)])
[('chr1:1310706-1310726', 'GACGGTTTCCGGTTAGTGGAA'), ('chr1:983001-983021', 'GTCCGCTTGCGGGACCTGGGG')]
如果行始终成对出现，并且您跳过了顶部的元数据，则可以压缩：
from random import sample
with open("foo.fasta") as f:
print(sample(list(zip(f, f)), 2))
这会给你成对的元组线：
[('>chr1:983001-983021\n', 'GTCCGCTTGCGGGACCTGGGG\n'), ('>chr1:984333-984353\n', 'CTGGAATTCCGGGCGCTGGAG\n')]
要准备编写这些行：
from Bio import SeqIO
from random import sample
with open("foo.fasta") as f:
seqs = SeqIO.parse(f, "fasta")
samps = ((seq.name, seq.seq) for seq in sample(list(seqs),2))
for samp in samps:
print(">{}\n{}".format(*samp))
输出：
>chr1:1310706-1310726
GACGGTTTCCGGTTAGTGGAA
>chr1:983001-983021
GTCCGCTTGCGGGACCTGGGG
602392714
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