Python实现GATK多线程加速与VCF合并示例
本文介绍了利用Python多线程技术加速GATK变异分析流程的方法。通过将大数据样本按染色体拆分,并行执行HaplotypeCaller生成g.vcf文件,最后使用GATK GatherVcfs工具合并结果。文中提供了具体的Python脚本实现及VCF合并命令示例,旨在提升基因组数据分析效率。
GATK 变异分析
面对大规模数据样本时,GATK分析过程可能耗时较长。为此,可依据染色体将任务拆分,利用多线程进行并行计算以加速处理。
以下提供一个基于Python的多线程脚本示例,供参考交流,如有不足之处欢迎指正。
#!/usr/bin/python3
import _thread
import os
import threading
import time
muthreads=[]
bam_file="a.mkdup.bam"
out_file_prefix="flower"
chr_list=["CHR01","CHR02","CHR03","CHR04","CHR05","CHR06","CHR07","CHR08","CHR09","CHR10","CHR11","CHR12","CHR13"]
for chr in chr_list:
threads_comonder_name= "gatk HaplotypeCaller --intervals " + chr +" -R /mnt/j/BSA/02-read-align/Tifrunner2.fasta -I " + bam_file + " -ERC GVCF -O "+ out_file_prefix +"-"+chr+".erc.g.vcf"
muthreads.append(threads_comonder_name)
exitFlag = 0
class myThread (threading.Thread):
def __init__(self, threadID, name, counter, comander):
threading.Thread.__init__(self)
self.threadID = threadID
self.name = name
self.counter = counter
self.comander = comander
def run(self):
print ("开始线程:" + self.name)
print_time(self.name, self.counter, 5, self.comander)
print ("退出线程:" + self.name)
def print_time(threadName, delay, counter,comander):
# while counter:
if exitFlag:
threadName.exit()
time.sleep(delay)
print(comander)
os.system(comander)#调用操作系统命令行处理数据
# counter -= 1
# 创建新线程
threadlist=[]
for i, threadsnu in enumerate(muthreads[0:11]):
print(i)
print(threadsnu)
threadsnew=myThread(1, "Thread-" + str(i), 2, threadsnu)
threadlist.append(threadsnew)
# 开启新线程
for threads in threadlist:
threads.start()
for threads in threadlist:
threads.join()
print ("运行结束退出主线程")
以下内容源自网络,未经过严格验证。
多条染色体对应同一样本的VCF文件合并操作。
# for i in {1..22} X Y ;do echo "-I final_chr$i.vcf" '\';done
# for i in {10..19} {1..9} M X Y ;do echo "-I final_chr$i.vcf" '\';done
module load java/1.8.0_91
GATK=/home/jianmingzeng/biosoft/GATK/gatk-4.0.3.0/gatk
$GATK GatherVcfs \
-I final_chr1.vcf \
-I final_chr2.vcf \
-I final_chr3.vcf \
-I final_chr4.vcf \
-I final_chr5.vcf \
-I final_chr6.vcf \
-I final_chr7.vcf \
-I final_chr8.vcf \
-I final_chr9.vcf \
-I final_chr10.vcf \
-I final_chr11.vcf \
-I final_chr12.vcf \
-I final_chr13.vcf \
-I final_chr14.vcf \
-I final_chr15.vcf \
-I final_chr16.vcf \
-I final_chr17.vcf \
-I final_chr18.vcf \
-I final_chr19.vcf \
-I final_chr20.vcf \
-I final_chr21.vcf \
-I final_chr22.vcf \
-I final_chrX.vcf \
-I final_chrY.vcf \
-O merge.vcf
在合并过程中,需确保所有VCF文件的排序顺序与各自文件内部的头部信息顺序保持一致。
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