812 lines
30 KiB
Plaintext
Executable File
812 lines
30 KiB
Plaintext
Executable File
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task mutation_calling_umi {
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String name
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String output_dir
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String rmdup_bam
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String ref
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String bed
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String probe
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command <<<
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if [ ! -d ${output_dir}/mutation ];then
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mkdir ${output_dir}/mutation
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fi
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#1条call
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# 这个情况是reads数目只有1，但是如果去掉了这个reads数导致数据量减少很多
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# -r 3 是指有3条这样样的reads支撑
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# -f 是指频率 以2条方式的call出来的变异频率可以比1条的方式更可信
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# hotspot 修改了 -r 3 为 -r 2 -f 0.001 为 -f 0.0005
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java -jar /dataseq/jmdna/software/VarDict-1.8.3/lib/VarDict-1.8.3.jar \
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-G ${ref} \
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-f 0.0005 \
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-N ${name} \
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-b ${rmdup_bam} \
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-UN -Q 20 -m 3 -r 2 -th 10 -z 1 -c 1 -S 2 -E 3 -g 4 ${bed} \
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|/dataseq/jmdna/software/VarDict-1.8.3/bin/teststrandbias.R \
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| /dataseq/jmdna/software/VarDict-1.8.3/bin/var2vcf_valid.pl \
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-N ${name} -E -f 0.0005 > ${output_dir}/mutation/${name}.1r.vcf
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#提取>=2条矫正的序列
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bam_fetch.py ${output_dir}/alignment/${name}.rmdup.bam ${output_dir}/alignment/${name}.2r.rmdup.bam
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samtools index ${output_dir}/alignment/${name}.2r.rmdup.bam
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# 保证 1r call mut umi family 里面有2条reads
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#2条矫正的call
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java -jar /dataseq/jmdna/software/VarDict-1.8.3/lib/VarDict-1.8.3.jar \
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-G ${ref} \
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-f 0.0001 \
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-N ${name}_2r \
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-b ${output_dir}/alignment/${name}.2r.rmdup.bam \
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-UN -Q 20 -m 3 -r 1 -th 10 -z 1 -c 1 -S 2 -E 3 -g 4 ${bed} \
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|/dataseq/jmdna/software/VarDict-1.8.3/bin/teststrandbias.R \
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|/dataseq/jmdna/software/VarDict-1.8.3/bin/var2vcf_valid.pl -N ${name} -E -f 0.0001 >${output_dir}/mutation/${name}.2r.vcf
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# merge突变，以1条方式call的>0.01的突变+两条方式的对一条方式的低频区域（AF<0.01）进行矫正。
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correct_umi_1r_plus_2r.pl \
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${output_dir}/mutation/${name}.1r.vcf \
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${output_dir}/mutation/${name}.2r.vcf \
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${output_dir}/mutation/${name}.raw.vcf
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vcf_filter.py \
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-i ${output_dir}/mutation/${name}.raw.vcf \
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-e 'INFO/AF[0] >= 0.001 && INFO/VD >= 3' \
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-o ${output_dir}/mutation/${name}.raw.snp_indel.vcf
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# add msi and strandbias flag
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vcf_add_tag_msi.pl ${output_dir}/mutation/${name}.raw.snp_indel.vcf ${output_dir}/mutation/${name}.raw.addtagmsi.snp_indel.vcf ${probe} c
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# add malt flag
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grep -v ^# ${output_dir}/mutation/${name}.raw.snp_indel.vcf | awk '{OFS="\t"}{print $1,$2-1,$2}' - > \
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${output_dir}/mutation/${name}.raw.snp_indel.vcf.bed
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samtools mpileup -aBq 20 -Q 20 -f ${ref} -l ${output_dir}/mutation/${name}.raw.snp_indel.vcf.bed \
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${output_dir}/alignment/${name}.2r.rmdup.bam -o ${output_dir}/mutation/${name}.raw.snp_indel.vcf.pileup
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vcf_add_tag_mutalt.py ${output_dir}/mutation/${name}.raw.snp_indel.vcf.pileup \
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${output_dir}/mutation/${name}.raw.addtagmsi.snp_indel.vcf \
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${output_dir}/mutation/${name}.raw.addtagmsi.addmutalt.snp_indel.vcf
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cp ${output_dir}/mutation/${name}.raw.addtagmsi.addmutalt.snp_indel.vcf ${output_dir}/mutation/${name}.snp_indel.somatic.vcf
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vcf_filter.py \
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-i ${output_dir}/mutation/${name}.raw.snp_indel.vcf \
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-e 'INFO/AF[0] >= 0.1' \
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-o ${output_dir}/mutation/${name}.snp_indel.germline.vcf
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>>>
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output {
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String somatic_vcf = "${output_dir}/mutation/${name}.snp_indel.somatic.vcf"
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String germline_vcf = "${output_dir}/mutation/${name}.snp_indel.germline.vcf"
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String raw_vcf = "${output_dir}/mutation/${name}.1r.vcf"
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}
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}
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task mutation_calling_umi_control {
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String name
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String bed
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String ref
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String output_dir
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String tumor_rmdup_bam
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String normal_rmdup_bam
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String probe
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command <<<
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if [ ! -d ${output_dir}/mutation ];then
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mkdir ${output_dir}/mutation
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fi
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# 对照样本
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java -jar /dataseq/jmdna/software/VarDict-1.8.3/lib/VarDict-1.8.3.jar \
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-G ${ref} \
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-f 0.01 \
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-N ${name} \
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-b ${normal_rmdup_bam} \
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-UN \
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-Q 20 \
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-m 3 \
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-r 3 \
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-th 10 \
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-c 1 -S 2 -E 3 -g 4 ${bed} |/dataseq/jmdna/software/VarDict-1.8.3/bin/teststrandbias.R \
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|/dataseq/jmdna/software/VarDict-1.8.3/bin/var2vcf_valid.pl -N ${name} -E -f 0.01 >${output_dir}/mutation/${name}.normal.vcf
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# 实验样本
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java -jar /dataseq/jmdna/software/VarDict-1.8.3/lib/VarDict-1.8.3.jar \
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-G ${ref} \
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-f 0.0005 \
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-N ${name} \
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-b ${tumor_rmdup_bam} \
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-UN -Q 20 -m 3 -r 2 -th 10 -c 1 -S 2 -E 3 -g 4 ${bed} \
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| /dataseq/jmdna/software/VarDict-1.8.3/bin/teststrandbias.R \
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| /dataseq/jmdna/software/VarDict-1.8.3/bin/var2vcf_valid.pl \
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-N ${name} -E -f 0.0005 > ${output_dir}/mutation/${name}.1r.vcf
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#提取>=2条矫正的序列
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bam_fetch.py ${output_dir}/alignment/${name}.rmdup.bam ${output_dir}/alignment/${name}.2r.rmdup.bam
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samtools index ${output_dir}/alignment/${name}.2r.rmdup.bam
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# 保证 1r call mut umi family 里面有2条reads
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#2条矫正的call
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java -jar /dataseq/jmdna/software/VarDict-1.8.3/lib/VarDict-1.8.3.jar -G ${ref} \
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-f 0.0001 -N ${name}_2r -b ${output_dir}/alignment/${name}.2r.rmdup.bam \
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-UN -Q 20 -m 3 -r 1 -th 10 -c 1 -S 2 -E 3 -g 4 ${bed} | /dataseq/jmdna/software/VarDict-1.8.3/bin/teststrandbias.R \
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| /dataseq/jmdna/software/VarDict-1.8.3/bin/var2vcf_valid.pl -N ${name} -E -f 0.0001 >${output_dir}/mutation/${name}.2r.vcf
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# merge突变，以1条方式call的>0.01的突变+两条方式的对一条方式的低频区域（AF<0.01）进行矫正。
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correct_umi_1r_plus_2r.pl \
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${output_dir}/mutation/${name}.1r.vcf \
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${output_dir}/mutation/${name}.2r.vcf \
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${output_dir}/mutation/${name}.pre_raw.vcf
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# 去除normal 中的突变位点
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correct_umi_subnormal.pl \
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${output_dir}/mutation/${name}.pre_raw.vcf \
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${output_dir}/mutation/${name}.normal.vcf \
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${output_dir}/mutation/${name}.raw.vcf
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vcf_filter.py \
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-i ${output_dir}/mutation/${name}.raw.vcf \
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-e 'INFO/AF[0] >= 0.001 && INFO/VD >= 3' \
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-o ${output_dir}/mutation/${name}.raw.snp_indel.vcf
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# add msi and strandbias flag
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vcf_add_tag_msi.pl ${output_dir}/mutation/${name}.raw.snp_indel.vcf ${output_dir}/mutation/${name}.raw.addtagmsi.snp_indel.vcf ${probe} c
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# add malt flag
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grep -v ^# ${output_dir}/mutation/${name}.raw.snp_indel.vcf | awk '{OFS="\t"}{print $1,$2-1,$2}' - > \
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${output_dir}/mutation/${name}.raw.snp_indel.vcf.bed
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samtools mpileup -aBq 20 -Q 20 -f ${ref} -l ${output_dir}/mutation/${name}.raw.snp_indel.vcf.bed \
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${output_dir}/alignment/${name}.2r.rmdup.bam -o ${output_dir}/mutation/${name}.raw.snp_indel.vcf.pileup
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vcf_add_tag_mutalt.py ${output_dir}/mutation/${name}.raw.snp_indel.vcf.pileup \
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${output_dir}/mutation/${name}.raw.addtagmsi.snp_indel.vcf \
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${output_dir}/mutation/${name}.raw.addtagmsi.addmutalt.snp_indel.vcf
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cp ${output_dir}/mutation/${name}.raw.addtagmsi.addmutalt.snp_indel.vcf ${output_dir}/mutation/${name}.snp_indel.somatic.vcf
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cp ${output_dir}/mutation/${name}.normal.vcf ${output_dir}/mutation/${name}.snp_indel.germline.vcf
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>>>
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output {
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String somatic_vcf = "${output_dir}/mutation/${name}.snp_indel.somatic.vcf"
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String germline_vcf = "${output_dir}/mutation/${name}.snp_indel.germline.vcf"
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String raw_vcf = "${output_dir}/mutation/${name}.1r.vcf"
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}
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}
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task mutation_calling_tissue {
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String name
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String bed
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String ref
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String output_dir
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String rmdup_bam
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String probe
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command <<<
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if [ ! -d ${output_dir}/mutation ];then
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mkdir ${output_dir}/mutation
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fi
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# vardict
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java -jar /dataseq/jmdna/software/VarDict-1.8.3/lib/VarDict-1.8.3.jar \
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-G ${ref} \
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-f 0.005 \
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-N ${name} \
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-b ${rmdup_bam} \
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-UN \
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-Q 20 \
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-m 3 \
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-r 2 \
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-z 1 \
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-th 10 \
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-c 1 -S 2 -E 3 -g 4 ${bed} \
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|/dataseq/jmdna/software/VarDict-1.8.3/bin/teststrandbias.R \
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|/dataseq/jmdna/software/VarDict-1.8.3/bin/var2vcf_valid.pl -N ${name} -E -f 0.005 \
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>${output_dir}/mutation/${name}.raw.vcf
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vcf_filter.py \
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-i ${output_dir}/mutation/${name}.raw.vcf \
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-e 'INFO/AF[0] >= 0.01 && INFO/VD >= 3' \
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-o ${output_dir}/mutation/${name}.raw.snp_indel.vcf
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# add msi and strandbias flag
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vcf_add_tag_msi.pl ${output_dir}/mutation/${name}.raw.snp_indel.vcf ${output_dir}/mutation/${name}.raw.addtagmsi.snp_indel.vcf ${probe} t
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cp ${output_dir}/mutation/${name}.raw.addtagmsi.snp_indel.vcf ${output_dir}/mutation/${name}.snp_indel.somatic.vcf
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vcf_filter.py \
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-i ${output_dir}/mutation/${name}.raw.snp_indel.vcf \
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-e 'INFO/AF[0] > 0.1' \
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-o ${output_dir}/mutation/${name}.snp_indel.germline.vcf
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>>>
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output {
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String somatic_vcf = "${output_dir}/mutation/${name}.snp_indel.somatic.vcf"
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String germline_vcf = "${output_dir}/mutation/${name}.snp_indel.germline.vcf"
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String raw_vcf = "${output_dir}/mutation/${name}.raw.vcf"
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}
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}
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task mutation_calling_tissue_control {
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String name
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String bed
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String ref
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String output_dir
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String tumor_rmdup_bam
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String normal_rmdup_bam
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String probe
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command <<<
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if [ ! -d ${output_dir}/mutation ];then
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mkdir ${output_dir}/mutation
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fi
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java -jar /dataseq/jmdna/software/VarDict-1.8.3/lib/VarDict-1.8.3.jar \
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-G ${ref} \
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-f 0.005 \
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-N ${name} \
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-b "${tumor_rmdup_bam}|${normal_rmdup_bam}" \
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-UN \
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-Q 20 \
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-m 3 \
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-r 2 \
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-th 20 \
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-z 1 -c 1 -S 2 -E 3 -g 4 ${bed} | /dataseq/jmdna/software/VarDict-1.8.3/bin/testsomatic.R \
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| /dataseq/jmdna/software/VarDict-1.8.3/bin/var2vcf_paired.pl -N ${name} -f 0.005 \
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>${output_dir}/mutation/${name}.raw.vcf
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vcf_filter.py \
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-i ${output_dir}/mutation/${name}.raw.vcf \
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-e 'INFO/AF[0] >= 0.01 && INFO/VD >= 3' \
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-o ${output_dir}/mutation/${name}.raw.snp_indel.vcf
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# add msi and strandbias flag
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vcf_add_tag_msi.pl ${output_dir}/mutation/${name}.raw.snp_indel.vcf ${output_dir}/mutation/${name}.raw.addtagmsi.snp_indel.vcf ${probe} t
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vcf_filter.py -i ${output_dir}/mutation/${name}.raw.addtagmsi.snp_indel.vcf \
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-o ${output_dir}/mutation/${name}.snp_indel.somatic.vcf \
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-e 'INFO/STATUS="StrongSomatic" | ( INFO/STATUS="LikelySomatic" && FORMAT/AF[0] > 3*FORMAT/AF[1] )'
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vcf_filter.py -i ${output_dir}/mutation/${name}.raw.snp_indel.vcf \
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-o ${output_dir}/mutation/${name}.snp_indel.germline.vcf \
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-e 'INFO/STATUS="Germline"'
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>>>
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output {
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String somatic_vcf = "${output_dir}/mutation/${name}.snp_indel.somatic.vcf"
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String germline_vcf = "${output_dir}/mutation/${name}.snp_indel.germline.vcf"
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String raw_vcf = "${output_dir}/mutation/${name}.raw.vcf"
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}
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}
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task hotspot {
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String name
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String output_dir
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String raw_vcf
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Float threshold
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command <<<
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if [ ! -d ${output_dir}/mutation ];then
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mkdir ${output_dir}/mutation
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fi
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# hotspot
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vcf_filter.py \
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-i ${raw_vcf} \
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-e 'INFO/AF[0] < ${threshold}' \
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-o ${output_dir}/mutation/${name}.raw.hotspot.vcf
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vcf_operations.py ${output_dir}/mutation/${name}.raw.hotspot.vcf \
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-b $PUBLIC/hotspot/hotspot_delins.bed \
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-o ${output_dir}/mutation/${name}.hotspot.delins.vcf
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vcf_operations.py ${output_dir}/mutation/${name}.raw.hotspot.vcf \
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-v $PUBLIC/hotspot/hotspot_snv.vcf \
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-o ${output_dir}/mutation/${name}.hotspot.snv.vcf
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vcf_operations.py ${output_dir}/mutation/${name}.hotspot.snv.vcf \
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-v ${output_dir}/mutation/${name}.hotspot.delins.vcf \
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-o ${output_dir}/mutation/${name}.hotspot.vcf \
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-m
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>>>
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output {
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String hotspot_vcf = "${output_dir}/mutation/${name}.hotspot.vcf"
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}
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}
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task annovar {
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String prefix
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String output_dir
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String ref
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String vcf
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command <<<
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if [ ! -d ${output_dir}/mutation ];then
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mkdir ${output_dir}/mutation
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fi
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# 有突变记录的进行注释
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if grep -E -q "^[^#]" ${vcf}; then
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table_annovar.pl \
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${vcf} \
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/dataseq/jmdna/software/annovar/humandb/ \
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-buildver hg19 -nastring . -vcfinput -remove -otherinfo \
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-protocol refGene,avsnp150,cosmic91,clinvar_20220320,1000g2015aug_all,1000g2015aug_eas,esp6500siv2_all,exac03nontcga,gnomad_genome,dbnsfp35c,cytoBand \
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-argument '-splicing_threshold 2 -hgvs ',,,,,,,,,, \
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-intronhgvs 50 \
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-operation g,f,f,f,f,f,f,f,f,f,r \
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-outfile ${output_dir}/mutation/${prefix} \
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-dot2underline
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else
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# 无突变记录创建文件
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touch ${output_dir}/mutation/${prefix}.hg19_multianno.txt ${output_dir}/mutation/${prefix}.hg19_multianno.vcf
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fi
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>>>
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output {
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String anno_txt = "${output_dir}/mutation/${prefix}.hg19_multianno.txt"
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String anno_vcf = "${output_dir}/mutation/${prefix}.hg19_multianno.txt"
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}
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}
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task filter_umi {
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String name
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String file
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String project
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String sample_type
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String pipeline
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String output_dir
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String tumor_rmdup_bam
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command <<<
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if [ ! -d ${output_dir}/mutation ];then
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mkdir ${output_dir}/mutation
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fi
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filter_snpindel.pl \
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${file} \
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${output_dir}/mutation/${name}.snp_indel.${pipeline}.hg19_multianno.filter_pre.txt \
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${output_dir}/mutation/${name}.snp_indel.${pipeline}.hg19_multianno.tag.txt \
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${project} \
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${sample_type} \
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${pipeline}
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if [ "${pipeline}" = 'hotspot' ] ;then
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cp ${output_dir}/mutation/${name}.snp_indel.${pipeline}.hg19_multianno.filter_pre.txt \
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${output_dir}/mutation/${name}.snp_indel.${pipeline}.hg19_multianno.filter.txt
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else
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correct_umi_overlap_reads.py \
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${output_dir}/mutation/${name}.snp_indel.${pipeline}.hg19_multianno.filter_pre.txt \
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${tumor_rmdup_bam} \
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${output_dir}/mutation/${name}.snp_indel.${pipeline}.hg19_multianno.filter.txt
|
||
fi
|
||
|
||
>>>
|
||
output {
|
||
String snvindel_filtered= "${output_dir}/mutation/${name}.snp_indel.${pipeline}.hg19_multianno.filter.txt"
|
||
}
|
||
}
|
||
|
||
task filter_tissue {
|
||
String name
|
||
String file
|
||
String project
|
||
String sample_type
|
||
String pipeline
|
||
String output_dir
|
||
|
||
command <<<
|
||
|
||
if [ ! -d ${output_dir}/mutation ];then
|
||
mkdir ${output_dir}/mutation
|
||
fi
|
||
|
||
filter_snpindel.pl \
|
||
${file} \
|
||
${output_dir}/mutation/${name}.snp_indel.${pipeline}.hg19_multianno.filter.txt \
|
||
${output_dir}/mutation/${name}.snp_indel.${pipeline}.hg19_multianno.tag.txt \
|
||
${project} \
|
||
${sample_type} \
|
||
${pipeline}
|
||
|
||
>>>
|
||
output {
|
||
String snvindel_filtered= "${output_dir}/mutation/${name}.snp_indel.${pipeline}.hg19_multianno.filter.txt"
|
||
}
|
||
}
|
||
|
||
task mutation_sum {
|
||
String name
|
||
String somatic_txt
|
||
String germline_txt
|
||
String hotspot_txt
|
||
String output_dir
|
||
String cancer
|
||
|
||
command <<<
|
||
|
||
if [ ! -d ${output_dir}/mutation ];then
|
||
mkdir ${output_dir}/mutation
|
||
fi
|
||
|
||
{ head -n 1 ${somatic_txt} ; tail -n +2 ${somatic_txt} ; tail -n +2 ${hotspot_txt} ;} |\
|
||
{ head -n 1 ; awk -F '\t' '{$1 = 1; OFS="\t" ; key=""; for (i=2; i<=NF-1; i++) { key = key $i "," } \
|
||
if (key in data) { data[key] = data[key] ";" $NF; } \
|
||
else { data[key] = $0; }} END { for (i in data) { print data[i]; } }' ; } > \
|
||
${output_dir}/mutation/${name}.snp_indel.somatic.hg19_multianno.filter.sum.txt
|
||
|
||
target_therapy_snpindel.pl ${output_dir}/mutation/${name}.snp_indel.somatic.hg19_multianno.filter.sum.txt \
|
||
${output_dir}/mutation/${name}.snp_indel.somatic.hg19_multianno.filter.sum ${cancer}
|
||
|
||
>>>
|
||
output {
|
||
String snvindel_filtered_sum = "${output_dir}/mutation/${name}.snp_indel.somatic.hg19_multianno.filter.sum.txt"
|
||
}
|
||
}
|
||
|
||
workflow call_mutation {
|
||
|
||
Boolean run=true
|
||
|
||
String tumor
|
||
String tumor_rmdup_bam
|
||
String? normal
|
||
String? normal_rmdup_bam
|
||
Boolean umi
|
||
String output_dir
|
||
String ref
|
||
String bed
|
||
String project
|
||
String cancer
|
||
String probe
|
||
|
||
# pipe 执行 mutation_calling => annovar => filter
|
||
if (run) {
|
||
# 单样本
|
||
if (!defined(normal)) {
|
||
if (umi) {
|
||
call mutation_calling_umi {
|
||
input:
|
||
name=tumor,
|
||
output_dir=output_dir,
|
||
ref=ref,
|
||
bed=bed,
|
||
rmdup_bam=tumor_rmdup_bam,
|
||
probe=probe
|
||
}
|
||
call hotspot as hotspot_calling_umi {
|
||
input:
|
||
name=tumor,
|
||
output_dir=output_dir,
|
||
raw_vcf=mutation_calling_umi.raw_vcf,
|
||
threshold=0.1
|
||
}
|
||
call annovar as anno_somatic_umi {
|
||
input:
|
||
prefix="${tumor}.snp_indel.somatic",
|
||
output_dir=output_dir,
|
||
ref=ref,
|
||
vcf=mutation_calling_umi.somatic_vcf
|
||
}
|
||
call annovar as anno_germline_umi {
|
||
input:
|
||
prefix="${tumor}.snp_indel.germline",
|
||
output_dir=output_dir,
|
||
ref=ref,
|
||
vcf=mutation_calling_umi.germline_vcf
|
||
}
|
||
call annovar as anno_hotspot_umi {
|
||
input:
|
||
prefix="${tumor}.hotspot",
|
||
output_dir=output_dir,
|
||
ref=ref,
|
||
vcf=hotspot_calling_umi.hotspot_vcf
|
||
}
|
||
call filter_umi as filter_somatic_umi {
|
||
input:
|
||
name=tumor,
|
||
file=anno_somatic_umi.anno_txt,
|
||
project=project,
|
||
sample_type='c',
|
||
pipeline='somatic',
|
||
output_dir=output_dir,
|
||
tumor_rmdup_bam = tumor_rmdup_bam
|
||
|
||
}
|
||
call filter_umi as filter_hotspot_umi {
|
||
input:
|
||
name=tumor,
|
||
file=anno_hotspot_umi.anno_txt,
|
||
project=project,
|
||
sample_type='c',
|
||
pipeline='hotspot',
|
||
output_dir=output_dir,
|
||
tumor_rmdup_bam = tumor_rmdup_bam
|
||
|
||
}
|
||
call filter_umi as filter_germline_umi {
|
||
input:
|
||
name=tumor,
|
||
file=anno_germline_umi.anno_txt,
|
||
project=project,
|
||
sample_type='c',
|
||
pipeline='germline',
|
||
output_dir=output_dir,
|
||
tumor_rmdup_bam = tumor_rmdup_bam
|
||
}
|
||
call mutation_sum as mutation_sum_umi {
|
||
input:
|
||
name=tumor,
|
||
output_dir=output_dir,
|
||
somatic_txt=filter_somatic_umi.snvindel_filtered,
|
||
germline_txt=filter_germline_umi.snvindel_filtered,
|
||
hotspot_txt=filter_hotspot_umi.snvindel_filtered,
|
||
cancer=cancer
|
||
}
|
||
|
||
}
|
||
|
||
if (!umi) {
|
||
call mutation_calling_tissue {
|
||
input:
|
||
name=tumor,
|
||
output_dir=output_dir,
|
||
ref=ref,
|
||
bed=bed,
|
||
rmdup_bam=tumor_rmdup_bam,
|
||
probe=probe
|
||
}
|
||
call hotspot as hotspot_calling_tissue {
|
||
input:
|
||
name=tumor,
|
||
output_dir=output_dir,
|
||
raw_vcf=mutation_calling_tissue.raw_vcf,
|
||
threshold=0.1
|
||
}
|
||
call annovar as anno_somatic_tissue {
|
||
input:
|
||
prefix="${tumor}.snp_indel.somatic",
|
||
output_dir=output_dir,
|
||
ref=ref,
|
||
vcf=mutation_calling_tissue.somatic_vcf
|
||
}
|
||
call annovar as anno_germline_tissue {
|
||
input:
|
||
prefix="${tumor}.snp_indel.germline",
|
||
output_dir=output_dir,
|
||
ref=ref,
|
||
vcf=mutation_calling_tissue.germline_vcf
|
||
}
|
||
call annovar as anno_hotspot_tissue {
|
||
input:
|
||
prefix="${tumor}.hotspot",
|
||
output_dir=output_dir,
|
||
ref=ref,
|
||
vcf=hotspot_calling_tissue.hotspot_vcf
|
||
}
|
||
call filter_tissue as filter_somatic_tissue {
|
||
input:
|
||
name=tumor,
|
||
file=anno_somatic_tissue.anno_txt,
|
||
project=project,
|
||
sample_type='t',
|
||
pipeline='somatic',
|
||
output_dir=output_dir,
|
||
|
||
}
|
||
call filter_tissue as filter_hotspot_tissue {
|
||
input:
|
||
name=tumor,
|
||
file=anno_hotspot_tissue.anno_txt,
|
||
project=project,
|
||
sample_type='t',
|
||
pipeline='hotspot',
|
||
output_dir=output_dir,
|
||
|
||
}
|
||
call filter_tissue as filter_germline_tissue {
|
||
input:
|
||
name=tumor,
|
||
file=anno_germline_tissue.anno_txt,
|
||
project=project,
|
||
sample_type='t',
|
||
pipeline='germline',
|
||
output_dir=output_dir,
|
||
}
|
||
call mutation_sum as mutation_sum_tissue {
|
||
input:
|
||
name=tumor,
|
||
output_dir=output_dir,
|
||
somatic_txt=filter_somatic_tissue.snvindel_filtered,
|
||
germline_txt=filter_germline_tissue.snvindel_filtered,
|
||
hotspot_txt=filter_hotspot_tissue.snvindel_filtered,
|
||
cancer=cancer
|
||
}
|
||
}
|
||
}
|
||
# 双样本
|
||
if (defined(normal)) {
|
||
if (umi) {
|
||
call mutation_calling_umi_control {
|
||
input:
|
||
name=tumor,
|
||
output_dir=output_dir,
|
||
ref=ref,
|
||
bed=bed,
|
||
tumor_rmdup_bam=tumor_rmdup_bam,
|
||
normal_rmdup_bam=normal_rmdup_bam,
|
||
probe=probe
|
||
|
||
}
|
||
call hotspot as hotspot_calling_umi_control {
|
||
input:
|
||
name=tumor,
|
||
output_dir=output_dir,
|
||
raw_vcf=mutation_calling_umi_control.raw_vcf,
|
||
threshold=0.1
|
||
}
|
||
call annovar as anno_somatic_umi_control {
|
||
input:
|
||
prefix="${tumor}.snp_indel.somatic",
|
||
output_dir=output_dir,
|
||
ref=ref,
|
||
vcf=mutation_calling_umi_control.somatic_vcf
|
||
}
|
||
call annovar as anno_germline_umi_control {
|
||
input:
|
||
prefix="${tumor}.snp_indel.germline",
|
||
output_dir=output_dir,
|
||
ref=ref,
|
||
vcf=mutation_calling_umi_control.germline_vcf
|
||
}
|
||
call annovar as anno_hotspot_umi_control {
|
||
input:
|
||
prefix="${tumor}.hotspot",
|
||
output_dir=output_dir,
|
||
ref=ref,
|
||
vcf=hotspot_calling_umi_control.hotspot_vcf
|
||
}
|
||
call filter_umi as filter_somatic_umi_control {
|
||
input:
|
||
name=tumor,
|
||
file=anno_somatic_umi_control.anno_txt,
|
||
project=project,
|
||
sample_type='c',
|
||
pipeline='somatic',
|
||
output_dir=output_dir,
|
||
tumor_rmdup_bam = tumor_rmdup_bam
|
||
|
||
}
|
||
call filter_umi as filter_hotspot_umi_control {
|
||
input:
|
||
name=tumor,
|
||
file=anno_hotspot_umi_control.anno_txt,
|
||
project=project,
|
||
sample_type='c',
|
||
pipeline='hotspot',
|
||
output_dir=output_dir,
|
||
tumor_rmdup_bam = tumor_rmdup_bam
|
||
|
||
}
|
||
call filter_umi as filter_germline_umi_control {
|
||
input:
|
||
name=tumor,
|
||
file=anno_germline_umi_control.anno_txt,
|
||
project=project,
|
||
sample_type='c',
|
||
pipeline='germline',
|
||
output_dir=output_dir,
|
||
tumor_rmdup_bam = tumor_rmdup_bam
|
||
}
|
||
call mutation_sum as mutation_sum_umi_control {
|
||
input:
|
||
name=tumor,
|
||
output_dir=output_dir,
|
||
somatic_txt=filter_somatic_umi_control.snvindel_filtered,
|
||
germline_txt=filter_germline_umi_control.snvindel_filtered,
|
||
hotspot_txt=filter_hotspot_umi_control.snvindel_filtered,
|
||
cancer=cancer
|
||
}
|
||
}
|
||
if (!umi) {
|
||
call mutation_calling_tissue_control {
|
||
input:
|
||
name=tumor,
|
||
output_dir=output_dir,
|
||
ref=ref,
|
||
bed=bed,
|
||
tumor_rmdup_bam=tumor_rmdup_bam,
|
||
normal_rmdup_bam=normal_rmdup_bam,
|
||
probe=probe
|
||
|
||
}
|
||
call hotspot as hotspot_calling_tissue_control {
|
||
input:
|
||
name=tumor,
|
||
output_dir=output_dir,
|
||
raw_vcf=mutation_calling_tissue_control.raw_vcf,
|
||
threshold=0.1
|
||
}
|
||
call annovar as anno_somatic_tissue_control {
|
||
input:
|
||
prefix="${tumor}.snp_indel.somatic",
|
||
output_dir=output_dir,
|
||
ref=ref,
|
||
vcf=mutation_calling_tissue_control.somatic_vcf
|
||
}
|
||
call annovar as anno_germline_tissue_control {
|
||
input:
|
||
prefix="${tumor}.snp_indel.germline",
|
||
output_dir=output_dir,
|
||
ref=ref,
|
||
vcf=mutation_calling_tissue_control.germline_vcf
|
||
}
|
||
call annovar as anno_hotspot_tissue_control {
|
||
input:
|
||
prefix="${tumor}.hotspot",
|
||
output_dir=output_dir,
|
||
ref=ref,
|
||
vcf=hotspot_calling_tissue_control.hotspot_vcf
|
||
}
|
||
call filter_tissue as filter_somatic_tissue_control {
|
||
input:
|
||
name=tumor,
|
||
file=anno_somatic_tissue_control.anno_txt,
|
||
project=project,
|
||
sample_type='t',
|
||
pipeline='somatic',
|
||
output_dir=output_dir,
|
||
}
|
||
call filter_tissue as filter_hotspot_tissue_control {
|
||
input:
|
||
name=tumor,
|
||
file=anno_hotspot_tissue_control.anno_txt,
|
||
project=project,
|
||
sample_type='t',
|
||
pipeline='hotspot',
|
||
output_dir=output_dir,
|
||
|
||
}
|
||
call filter_tissue as filter_germline_tissue_control {
|
||
input:
|
||
name=tumor,
|
||
file=anno_germline_tissue_control.anno_txt,
|
||
project=project,
|
||
sample_type='t',
|
||
pipeline='germline',
|
||
output_dir=output_dir,
|
||
}
|
||
call mutation_sum as mutation_sum_tissue_control {
|
||
input:
|
||
name=tumor,
|
||
output_dir=output_dir,
|
||
somatic_txt=filter_somatic_tissue_control.snvindel_filtered,
|
||
germline_txt=filter_germline_tissue_control.snvindel_filtered,
|
||
hotspot_txt=filter_hotspot_tissue_control.snvindel_filtered,
|
||
cancer=cancer
|
||
}
|
||
}
|
||
}
|
||
}
|
||
|
||
output {
|
||
String raw_vcf = "${output_dir}/mutation/${tumor}.raw.snp_indel.vcf"
|
||
String somatic_vcf = "${output_dir}/mutation/${tumor}.snp_indel.somatic.vcf"
|
||
String germline_vcf = "${output_dir}/mutation/${tumor}.snp_indel.germline.vcf"
|
||
String hotspot_vcf = "${output_dir}/mutation/${tumor}.hotspot.vcf"
|
||
String somatic_anno_txt = "${output_dir}/mutation/${tumor}.snp_indel.somatic.hg19_multianno.txt"
|
||
String somatic_filter = "${output_dir}/mutation/${tumor}.snp_indel.somatic.hg19_multianno.filter.txt"
|
||
String germline_filter = "${output_dir}/mutation/${tumor}.snp_indel.germline.hg19_multianno.filter.txt"
|
||
String hotspot_filter = "${output_dir}/mutation/${tumor}.snp_indel.hotspot.hg19_multianno.filter.txt"
|
||
}
|
||
} |