我正在编写一个脚本,它是snakemake和python代码的组合,可以自动化大量文件。更确切地说,我正致力于使用BWA MEM将读取与成对末端读取(http://bio-bwa.sourceforge.net/bwa.shtml)进行对齐。在脚本的第一部分,我重复了我的文件中的名称列表(它们是fastq bunzipped文件),然后将它们相应地排序在列表中。下面是一些文件的快速浏览:子进程:无法将'_io.BufferedReader'对象隐式转换为str
['NG-8653_1A_lib95899_4332_7_1', 'NG-8653_1A_lib95899_4332_7_2', 'NG-8653_1B_lib95900_4332_7_1', 'NG-8653_1B_lib95900_4332_7_2', 'NG-8653_1N_lib95898_4332_7_1', 'NG-8653_1N_lib95898_4332_7_2']
正如你所看到的,读的排序由二两(1A _... 1和1A ..._ 2等)。现在使用子进程,我想通过使用bunzip2对它们进行解压缩,然后通过标准输入将它们传递给bwa mem。 bwa mem命令将fastq格式文件转换为.sam文件,然后我使用samtools将它们转换为.bam格式。这里的脚本到目前为止:
import re, os, subprocess, bz2
WDIR = "/home/alaa/Documents/snakemake"
workdir: WDIR
SAMPLESDIR = "/home/alaa/Documents/snakemake/fastq/"
REF = "/home/alaa/Documents/inputs/reference/hg19_ref_genome.fa"
FILE_FASTQ = glob_wildcards("fastq/{samples}.fastq.bz2")
LIST_FILE_SAMPLES = []
for x in FILE_FASTQ[0]:
LIST_FILE_SAMPLES.append(x)
LIST_FILE_SAMPLES = sorted(LIST_FILE_SAMPLES)
print(LIST_FILE_SAMPLES)
rule fastq_to_bam:
run:
for x in range(0, len(LIST_FILE_SAMPLES), 2):
# get the name of the sample (1A, 1B ...)
samp = ""
samp += LIST_FILE_SAMPLES[x].split("_")[1]
# get the corresponding read (1 or 2)
r1 = SAMPLESDIR + LIST_FILE_SAMPLES[x] + ".fastq.bz2"
r2 = SAMPLESDIR + LIST_FILE_SAMPLES[x+1] + ".fastq.bz2"
# gunzipping the files and pipping them
p1 = subprocess.Popen(['bunzip2', '-kc', r1], stdout=subprocess.PIPE)
p2 = subprocess.Popen(['bunzip2', '-kc', r2], stdout=subprocess.PIPE)
# now write the output file to .bam format after aligning them
with open("sam/" + samp + ".bam", "w") as stdout:
fastq2sam = subprocess.Popen(["bwa", "mem", "-T 1", REF, p1.stdout, p2.stdout], stdout=subprocess.PIPE)
fastq2samOutput = subprocess.Popen(["samtools", "view", "-Sb", "-"], shell = True, stdin=fastq2sam.stdout, stdout=stdout)
我试图通过逐行尝试调试脚本。将bunzip2写入输出文件时,它工作正常。现在,如果我试图管它,我得到一个错误:
Error in job fastq_to_bam while creating output file .
RuleException:
TypeError in line 39 of /home/alaa/Documents/snakemake/Snakefile:
Can't convert '_io.BufferedReader' object to str implicitly
File "/home/alaa/Documents/snakemake/Snakefile", line 39, in __rule_fastq_to_bam
File "/usr/lib/python3.5/subprocess.py", line 947, in __init__
File "/usr/lib/python3.5/subprocess.py", line 1490, in _execute_child
File "/usr/lib/python3.5/concurrent/futures/thread.py", line 55, in run
Exiting because a job execution failed. Look above for error message
Will exit after finishing currently running jobs.
Exiting because a job execution failed. Look above for error message
你能告诉我什么是脚本的问题?自从今天上午我试图寻找这个问题,我似乎无法弄清楚。任何帮助深表感谢。提前致谢。
编辑1:
从@bli和@Johannes阅读更多有关反馈后,我做了这么远:
import re, os, subprocess, bz2, multiprocessing
from os.path import join
from contextlib import closing
WDIR = "/home/alaa/Documents/snakemake"
workdir: WDIR
SAMPLESDIR = "fastq/"
REF = "/home/alaa/Documents/inputs/reference/hg19_ref_genome.fa"
FILE_FASTQ = glob_wildcards("fastq/{samples, NG-8653_\d+[a-zA-Z]+_.+}")
LIST_FILE_SAMPLES = []
for x in FILE_FASTQ[0]:
LIST_FILE_SAMPLES.append("_".join(x.split("_")[0:5]))
LIST_FILE_SAMPLES = sorted(LIST_FILE_SAMPLES)
print(LIST_FILE_SAMPLES)
rule final:
input:
expand('bam/' + '{sample}.bam', sample = LIST_FILE_SAMPLES)
rule bunzip_fastq:
input:
r1 = SAMPLESDIR + '{sample}_1.fastq.bz2',
r2 = SAMPLESDIR + '{sample}_2.fastq.bz2'
output:
o1 = SAMPLESDIR + '{sample}_r1.fastq.gz',
o2 = SAMPLESDIR + '{sample}_r2.fastq.gz'
shell:
"""
bunzip2 -kc < {input.r1} | gzip -c > {output.o1}
bunzip2 -kc < {input.r2} | gzip -c > {output.o2}
"""
rule fastq_to_bam:
input:
r1 = SAMPLESDIR + '{sample}_r1.fastq.gz',
r2 = SAMPLESDIR + '{sample}_r2.fastq.gz',
ref = REF
output:
'bam/' + '{sample}.bam'
shell:
"""
bwa mem {input.ref} {input.r1} {input.r2} | samtools -b > {output}
"""
感谢很多的帮助!我想我可以从这里管理。
最好的问候, 阿拉
我第二次JohannesKöster在他的回答中发表了评论。你可能会考虑为bunzip做一个单独的规则,在这个规则中你可以使用“shell”部分,而不必用'subprocess'手动运行。然后,将此规则的输出作为映射规则的输入(并删除该循环并改用通配符)。 – bli