如何加速 Python 的 (fasta) 子采样程序?

How to speed up (fasta) subsampling program for Python?

我设计了一个小脚本,可以从原始文件中对 x 行进行子采样。原始文件是 fasta,每个序列有两行,程序提取那些 x 数量的序列(两行一起)。 这是它的样子:

#!/usr/bin/env python3
import random
import sys
# How many random sequences do you want?
num = int(input("Enter number of random sequences to select:\n"))

# Import arguments
infile = open(sys.argv[1], "r")
outfile = open(sys.argv[2], "w")

# Define lists
fNames = []
fSeqs = []
# Extract fasta file into the two lists
for line in infile:
    if line.startswith(">"):
        fNames.append(line.rstrip())
    else:
        fSeqs.append(line.rstrip())

# Print total number of sequences in the original file
print("There are "+str(len(fNames))+" in the input file")

# Take random items out of the list for the total number of samples required
for j in range(num):
    a = random.randint(0, (len(fNames)-1))
    print(fNames.pop(a), file = outfile)
    print(fSeqs.pop(a), file = outfile)

infile.close()
outfile.close()
input("Done.")

创建带有 ID 和核苷酸的列表(分别为第 1 行和第 2 行)进行得非常快,但打印出来需要很长时间。提取的数字最多可达 2M,但从 10000 开始变慢。

我想知道有没有办法让它更快。 .pop 是问题吗?如果我先创建一个唯一数字的随机列表然后提取它们会更快吗?

最后,终端在打印Done.后没有返回"normal finished state",我也不知道为什么。对于我所有的其他脚本,我可以在完成后立即输入。

random.sample(在评论中建议)和字典使脚本更快。 这是最终脚本:

#!/usr/bin/env python3
import random
import sys
# How many random sequences do you want?
num = int(input("Enter number of random sequences to select:\n"))

# Import arguments
infile = open(sys.argv[1], "r")
outfile = open(sys.argv[2], "w")

# Define list and dictionary
fNames = []
dicfasta = {}
# Extract fasta file into the two lists
for line in infile:
    if line.startswith(">"):
        fNames.append(line.rstrip())
        Id = line.rstrip()
    else:
        dicfasta[Id] = line.rstrip()

# Print total number of sequences in the original file
print("There are "+str(len(fNames))+" in the input file")

# Create subsamples
subsample = []
subsample = random.sample(fNames, num)

# Take random items out of the list for the total number of samples required
for j in subsample:
    print(j, file = outfile)
    print(dicfasta[j], file = outfile)

infile.close()
outfile.close()
input("Done.")