task benchmark { File vcf File vcf_idx File benchmarking_dir File ref_dir String sample = basename(vcf,".vcf.gz") String fasta String docker String cluster_config String disk_size command <<< set -o pipefail set -e nt=$(nproc) mkdir -p /cromwell_root/tmp cp -r ${ref_dir} /cromwell_root/tmp/ export HGREF=/cromwell_root/tmp/reference_data/GRCh38.d1.vd1.fa if [[ ${sample} =~ "LCL5" ]];then /opt/hap.py/bin/hap.py ${benchmarking_dir}/LCL5.afterfilterdiffbed.vcf.gz ${sample}.rtg.vcf.gz -f ${benchmarking_dir}/LCL5.high.confidence.bed.gz --threads $nt -o ${sample} -r ${ref_dir}/${fasta} elif [[ ${sample} =~ "LCL6" ]]; then /opt/hap.py/bin/hap.py ${benchmarking_dir}/LCL6.afterfilterdiffbed.vcf.gz ${sample}.rtg.vcf.gz -f ${benchmarking_dir}/LCL6.high.confidence.bed.gz --threads $nt -o ${sample} -r ${ref_dir}/${fasta} elif [[ ${sample} =~ "LCL7" ]]; then /opt/hap.py/bin/hap.py ${benchmarking_dir}/LCL7.afterfilterdiffbed.vcf.gz ${sample}.rtg.vcf.gz -f ${benchmarking_dir}/LCL7.high.confidence.bed.gz --threads $nt -o ${sample} -r ${ref_dir}/${fasta} elif [[ ${sample} =~ "LCL8" ]]; then /opt/hap.py/bin/hap.py ${benchmarking_dir}/LCL8.afterfilterdiffbed.vcf.gz ${sample}.rtg.vcf.gz -f ${benchmarking_dir}/LCL8.high.confidence.bed.gz --threads $nt -o ${sample} -r ${ref_dir}/${fasta} else echo "only for quartet samples" fi >>> runtime { docker:docker cluster:cluster_config systemDisk:"cloud_ssd 40" dataDisk:"cloud_ssd " + disk_size + " /cromwell_root/" } output { File rtg_vcf = "${sample}.rtg.vcf.gz" File rtg_vcf_index = "${sample}.rtg.vcf.gz.tbi" File gzip_vcf = "${sample}.vcf.gz" File gzip_vcf_index = "${sample}.vcf.gz.tbi" File roc_all_csv = "${sample}.roc.all.csv.gz" File roc_indel = "${sample}.roc.Locations.INDEL.csv.gz" File roc_indel_pass = "${sample}.roc.Locations.INDEL.PASS.csv.gz" File roc_snp = "${sample}.roc.Locations.SNP.csv.gz" File roc_snp_pass = "${sample}.roc.Locations.SNP.PASS.csv.gz" File summary = "${sample}.summary.csv" File extended = "${sample}.extended.csv" File metrics = "${sample}.metrics.json.gz" } }