我是Snakemake的新手,我正在尝试开发一些管道。我在使用通配符时遇到了一些问题,试图尽可能地自动化我的生物信息学分析。当管道变得更加复杂时,我遇到了麻烦(如下所示)。看起来Snakemake没有正确解析通配符。在Snakefile的预演期间,通配符的值在某些规则的执行中看起来是正确的。但是,相同的通配符会在管道的不同步骤(规则)中导致错误,我无法找出原因。下面我提供了演练的代码和输出消息。
num=["327905-LR-41624_normal","327907-LR-41624_tumor"]
num_normal=["327905-LR-41624"]
num_tumor=["327907-LR-41624"]
path="/path/to/Snakemake/"
genome="/path/to/references_genome/Mus_musculus.GRCm38.dna_rm.toplevel.fa"
rule all:
input:
expand("/path/to/Snakemake/AS-{num_tum}_tumor_no_dupl_sort_RG_LB.bam",num_tum=num_tumor),
expand("/path/to/Snakemake/AS-{num_norm}_normal_no_dupl_sort_RG_LB.bam",num_norm=num_normal)
ruleorder: samtools_sort > remove_duplicates > samtools_index #> add_readgroup_tumor > add_readgroup_normal
rule trim_galore:
input:
r1="/path/to/Snakemake/AS-{num}_R1.fastq",
r2="/path/to/Snakemake/AS-{num}_R2.fastq"
output:
"/path/to/Snakemake/AS-{num }_R1_val_1.fq",
"/path/to/Snakemake/AS-{num }_R2_val_2.fq"
shell:
"module load trim-galore/0.5.0 ; module load pypy/2.7-6.0.0 ; trim_galore --output_dir /path/to/Snakemake/ --paired {input.r1} {input.r2} "
rule bwa_mem:
input:
R1="/path/to/Snakemake/AS-{num}_R1_val_1.fq",
R2="/path/to/Snakemake/AS-{num}_R2_val_2.fq"
output:
"/path/to/Snakemake/AS-{num}.bam"
shell:
"module load samtools/default ; module load bwa/0.7.8 ; bwa mem {genome} {input.R1} {input.R2} | samtools view -h -b > {output} "
rule samtools_sort:
input:
"/path/to/Snakemake/AS-{num}.bam"
output:
"/path/to/Snakemake/AS-{num}_sort.bam"
shell:
"module load samtools/default ; samtools sort -n -O BAM {input} > {output} "
rule remove_duplicates:
input:
"/path/to/Snakemake/AS-{num}_sort.bam"
output:
outbam="/path/to/Snakemake/AS-{num}_no_dupl_sort.bam",
metrics="/path/to/Snakemake/AS-{num}_dupl_metrics.txt"
shell:
"module load gatk/4.0.9.0 ; gatk MarkDuplicates -I {input} -O {output.outbam} -M {output.metrics} --REMOVE_DUPLICATES=true "
rule samtools_index:
input:
"/path/to/Snakemake/AS-{num}_no_dupl_sort.bam"
output:
"/path/to/Snakemake/AS-{num}_no_dupl_sort.bam.bai"
shell:
"module load samtools/default ; samtools index {input} "
rule add_readgroup_normal:
input:
"/path/to/Snakemake/AS-{num_normal}_normal_no_dupl_sort.bam"
output:
"/path/to/Snakemake/AS-{num_normal}_normal_no_dupl_sort_RG_LB.bam"
shell:
"module load gatk/4.0.9.0 ; gatk AddOrReplaceReadGroups -PL Illumina -LB { num_normal } -PU { num_normal } -SM NORMAL -I { input } -O {output} "
rule add_readgroup_tumor:
input:
"/path/to/Snakemake/AS-{num_tumor}_tumor_no_dupl_sort.bam"
output:
"/path/to/Snakemake/AS-{num_tumor}_tumor_no_dupl_sort_RG_LB.bam"
shell:
"module load gatk/4.0.9.0 ; gatk AddOrReplaceReadGroups -PL Illumina -LB { num_tumor } -PU { num_tumor } -SM TUMOR -I { input } -O {output} "当我使用以下命令测试Snakefile时:.local/bin/snakemake -s Snakefile_pipeline --dryrun
我得到了以下信息:
**Building DAG of jobs...**
**Job counts:**
**count jobs
1 add_readgroup_normal
1 add_readgroup_tumor
1 all
2 bwa_mem
2 remove_duplicates
2 samtools_sort
2 trim_galore
11**
**[Mon Apr 8 16:14:27 2019]
rule trim_galore:
input: /path/to/Snakemake/AS-327907-LR-41624_tumor_R1.fastq, /path/to/Snakemake/AS-327907-LR-41624_tumor_R2.fastq
output: /path/to/Snakemake/AS-327907-LR-41624_tumor_R1_val_1.fq, /path/to/Snakemake/AS-327907-LR-41624_tumor_R2_val_2.fq
jobid: 9
wildcards: num=327907-LR-41624_tumor**
**[Mon Apr 8 16:14:27 2019]
rule trim_galore:
input: /path/to/Snakemake/AS-327905-LR-41624_normal_R1.fastq, /path/to/Snakemake/AS-327905-LR-41624_normal_R2.fastq
output: /path/to/Snakemake/AS-327905-LR-41624_normal_R1_val_1.fq, /path/to/Snakemake/AS-327905-LR-41624_normal_R2_val_2.fq
jobid: 10
wildcards: num=327905-LR-41624_normal**
**[Mon Apr 8 16:14:27 2019]
rule bwa_mem:
input: /path/to/Snakemake/AS-327905-LR-41624_normal_R1_val_1.fq, /path/to/Snakemake/AS-327905-LR-41624_normal_R2_val_2.fq
output: /path/to/Snakemake/AS-327905-LR-41624_normal.bam
jobid: 8
wildcards: num=327905-LR-41624_normal**
**[Mon Apr 8 16:14:27 2019]
rule bwa_mem:
input: /path/to/Snakemake/AS-327907-LR-41624_tumor_R1_val_1.fq, /path/to/Snakemake/AS-327907-LR-41624_tumor_R2_val_2.fq
output: /path/to/Snakemake/AS-327907-LR-41624_tumor.bam
jobid: 7
wildcards: num=327907-LR-41624_tumor**
**[Mon Apr 8 16:14:27 2019]
rule samtools_sort:
input: /path/to/Snakemake/AS-327907-LR-41624_tumor.bam
output: /path/to/Snakemake/AS-327907-LR-41624_tumor_sort.bam
jobid: 5
wildcards: num=327907-LR-41624_tumor**
**[Mon Apr 8 16:14:27 2019]
rule samtools_sort:
input: /path/to/Snakemake/AS-327905-LR-41624_normal.bam
output: /path/to/Snakemake/AS-327905-LR-41624_normal_sort.bam
jobid: 6
wildcards: num=327905-LR-41624_normal**
**[Mon Apr 8 16:14:27 2019]
rule remove_duplicates:
input: /path/to/Snakemake/AS-327907-LR-41624_tumor_sort.bam
output: /path/to/Snakemake/AS-327907-LR-41624_tumor_no_dupl_sort.bam, /path/to/Snakemake/AS-327907-LR-41624_tumor_dupl_metrics.txt
jobid: 3
wildcards: num=327907-LR-41624_tumor**
**[Mon Apr 8 16:14:27 2019]
rule remove_duplicates:
input: /path/to/Snakemake/AS-327905-LR-41624_normal_sort.bam
output: /path/to/Snakemake/AS-327905-LR-41624_normal_no_dupl_sort.bam, /path/to/Snakemake/AS-327905-LR-41624_normal_dupl_metrics.txt
jobid: 4
wildcards: num=327905-LR-41624_normal**
**[Mon Apr 8 16:14:27 2019]
rule add_readgroup_normal:
input: /path/to/Snakemake/AS-327905-LR-41624_normal_no_dupl_sort.bam
output: /path/to/Snakemake/AS-327905-LR-41624_normal_no_dupl_sort_RG_LB.bam
jobid: 2
wildcards: num_normal=327905-LR-41624**
**RuleException in line 93 of /home/l136n/Snakefile_mapping_snv_call_pipeline2:
NameError: The name ' num_normal ' is unknown in this context. Please make sure that you defined that variable. Also note that braces not used for variable access have to be escaped by repeating them, i.e. {{print $1}}**我已经在谷歌上搜索了这个错误,但几乎没有找到什么帮助。此外,我还仔细检查了管道是否存在不一致。我期望作为输出的内容在规则"all“中指明。规则"add_readgroup_normal“和"add_readgroup_tumor”应该采用输入文件的不同子集,这些子集是由前面的步骤生成的,它们在所有文件上运行。我想知道这个问题是不是因为分成两个子集而出现的。我再说一遍,我对Snakemake还很陌生,所以我可能错过了一些愚蠢的东西!任何帮助都会非常感谢,因为我完全被卡住了!提前谢谢你!
num=["327905-LR-41624_normal","327907-LR-41624_tumor"]
normal=["327905-LR-41624_normal"]
num_tumor=["327907-LR-41624_tumor"]
path="/path/to/Snakemake/"
genome="/icgc/dkfzlsdf/analysis/B210/references_genome/Mus_musculus.GRCm38.dna_rm.toplevel.fa"
rule all:
input:
"/path/to/Snakemake/AS-327905-LR-41624_normal_R1_val_1.fq",
"/path/to/Snakemake/AS-327905-LR-41624_normal_R2_val_2.fq",
"/path/to/Snakemake/AS-327907-LR-41624_tumor_R1_val_1.fq",
"/path/to/Snakemake/AS-327907-LR-41624_tumor_R2_val_2.fq",
"/path/to/Snakemake/AS-327905-LR-41624_normal_no_dupl_sort.bam.bai",
"/path/to/Snakemake/AS-327907-LR-41624_tumor_no_dupl_sort.bam.bai",
"/path/to/Snakemake/AS-327905-LR-41624_normal_RG.bam"
"/path/to/Snakemake/AS-327907-LR-41624_tumor_RG.bam"
rule trim_galore:
input:
r1="/path/to/Snakemake/AS-{num}_R1.fastq",
r2="/path/to/Snakemake/AS-{num}_R2.fastq"
output:
"/path/to/Snakemake/AS-{num }_R1_val_1.fq",
"/path/to/Snakemake/AS-{num }_R2_val_2.fq"
shell:
"module load trim-galore/0.5.0 ; module load pypy/2.7-6.0.0 ; trim_galore --output_dir /path/to/Snakemake/ --paired {input.r1} {input.r2} "
rule bwa_mem:
input:
R1="/path/to/Snakemake/AS-{num}_R1_val_1.fq",
R2="/path/to/Snakemake/AS-{num}_R2_val_2.fq"
output:
"/path/to/Snakemake/AS-{num}.bam"
shell:
"module load samtools/default ; module load bwa/0.7.8 ; bwa mem {genome} {input.R1} {input.R2} | samtools view -h -b > {output} "
rule samtools_sort:
input:
"/path/to/Snakemake/AS-{num}.bam"
output:
"/path/to/Snakemake/AS-{num}_sort.bam"
shell:
"module load samtools/default ; samtools sort -n -O BAM {input} > {output} "
rule remove_duplicates:
input:
"/path/to/Snakemake/AS-{num}_sort.bam"
output:
outbam="/path/to/Snakemake/AS-{num}_no_dupl_sort.bam",
metrics="/path/to/Snakemake/AS-{num}_dupl_metrics.txt"
shell:
"module load gatk/4.0.9.0 ; gatk MarkDuplicates -I {input} -O {output.outbam} -M {output.metrics} --REMOVE_DUPLICATES=true "
rule samtools_index:
input:
"/path/to/Snakemake/AS-{num}_no_dupl_sort.bam"
output:
"/path/to/Snakemake/AS-{num}_no_dupl_sort.bam.bai"
shell:
"module load samtools/default ; samtools index {input} "
rule add_readgroup_normal:
input:
"/path/to/Snakemake/AS-{normal}_no_dupl_sort.bam"
output:
"/path/to/Snakemake/AS-{normal}_RG.bam"
shell:
"module load gatk/4.0.9.0 ; gatk AddOrReplaceReadGroups -PL Illumina -LB { wildcards.normal } -PU { wildcards.normal } -SM NORMAL -I { input } -O {output} "
rule add_readgroup_tumor:
input:
"/path/to/Snakemake/AS-{num}_no_dupl_sort.bam"
output:
"/path/to/Snakemake/AS-{num_,'.*tumor.*'}_RG.bam"
shell:
"module load gatk/4.0.9.0 ; gatk AddOrReplaceReadGroups -PL Illumina -LB { wildcards.num } -PU { wildcards.num } -SM TUMOR -I { input } -O {output} "错误:
Building DAG of jobs...
MissingInputException in line 37 of /home/l136n/Snakefile_mapping_snv_call_pipeline2b1:
Missing input files for rule trim_galore:
/path/to/Luca/Snakemake/AS-327905-LR-41624_normal_RG.bam/path/to/Luca/Snakemake/AS-327907-LR-41624_tumor_RG_R1.fastq
/path/to/Snakemake/AS-327905-LR-41624_normal_RG.bam/path/to/Luca/Snakemake/AS-327907-LR-41624_tumor_RG_R2.fastq发布于 2019-04-09 01:49:48
在shell中,可以使用语法{wilcards.var}而不是{var}来访问通配符。在rule add_readgroup_normal中有后者。Source。
发布于 2019-05-08 21:22:13
我想我会提供解决方案,即使这篇文章现在有点老了。该错误只是由于"{ wildcards.var }“中存在空格所致。
https://stackoverflow.com/questions/55576386
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