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https://github.com/MillironX/nf-core_modules.git
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50eafb19c6
* Update version for log4j vulnerability * update checksums * update checksums * update checksums * Remove todo string * remove werid output paths * remove werid output paths * remove werid output paths * Update various checksums * Update various checksums * Remove unstable md5sums * Update md5sums * Fix pileupsummary * Fix genotypegvcfs * Update test files mutect2 * hm genotypevcf updated again * Update some mutect checksums and whatnot * Fix last mutect checksum * Apply suggestion to use mtochondria data instead
115 lines
7.1 KiB
Text
115 lines
7.1 KiB
Text
#!/usr/bin/env nextflow
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nextflow.enable.dsl = 2
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include { GATK4_MUTECT2 } from '../../../../modules/gatk4/mutect2/main.nf'
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workflow test_gatk4_mutect2_tumor_normal_pair {
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input = [ [ id:'test'], // meta map
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[ file(params.test_data['homo_sapiens']['illumina']['test_paired_end_recalibrated_sorted_bam'], checkIfExists: true),
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file(params.test_data['homo_sapiens']['illumina']['test2_paired_end_recalibrated_sorted_bam'], checkIfExists: true)
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],
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[ file(params.test_data['homo_sapiens']['illumina']['test_paired_end_recalibrated_sorted_bam_bai'], checkIfExists: true),
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file(params.test_data['homo_sapiens']['illumina']['test2_paired_end_recalibrated_sorted_bam_bai'], checkIfExists: true)
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],
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["normal"]
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]
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run_single = false
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run_pon = false
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run_mito = false
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interval_label = []
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fasta = file(params.test_data['homo_sapiens']['genome']['genome_21_fasta'], checkIfExists: true)
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fai = file(params.test_data['homo_sapiens']['genome']['genome_21_fasta_fai'], checkIfExists: true)
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dict = file(params.test_data['homo_sapiens']['genome']['genome_21_dict'], checkIfExists: true)
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germline_resource = file(params.test_data['homo_sapiens']['genome']['gnomad_r2_1_1_21_vcf_gz'], checkIfExists: true)
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germline_resource_tbi = file(params.test_data['homo_sapiens']['genome']['gnomad_r2_1_1_21_vcf_gz_tbi'], checkIfExists: true)
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panel_of_normals = file(params.test_data['homo_sapiens']['genome']['mills_and_1000g_indels_21_vcf_gz'], checkIfExists: true)
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panel_of_normals_tbi = file(params.test_data['homo_sapiens']['genome']['mills_and_1000g_indels_21_vcf_gz_tbi'], checkIfExists: true)
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GATK4_MUTECT2 ( input, run_single, run_pon, run_mito, interval_label, fasta, fai, dict, germline_resource, germline_resource_tbi, panel_of_normals, panel_of_normals_tbi )
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}
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workflow test_gatk4_mutect2_tumor_single {
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input = [ [ id:'test'], // meta map
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[ file(params.test_data['homo_sapiens']['illumina']['test2_paired_end_recalibrated_sorted_bam'], checkIfExists: true)],
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[ file(params.test_data['homo_sapiens']['illumina']['test2_paired_end_recalibrated_sorted_bam_bai'], checkIfExists: true)],
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[]
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]
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run_single = true
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run_pon = false
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run_mito = false
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interval_label = []
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fasta = file(params.test_data['homo_sapiens']['genome']['genome_21_fasta'], checkIfExists: true)
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fai = file(params.test_data['homo_sapiens']['genome']['genome_21_fasta_fai'], checkIfExists: true)
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dict = file(params.test_data['homo_sapiens']['genome']['genome_21_dict'], checkIfExists: true)
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germline_resource = file(params.test_data['homo_sapiens']['genome']['gnomad_r2_1_1_21_vcf_gz'], checkIfExists: true)
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germline_resource_tbi = file(params.test_data['homo_sapiens']['genome']['gnomad_r2_1_1_21_vcf_gz_tbi'], checkIfExists: true)
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panel_of_normals = file(params.test_data['homo_sapiens']['genome']['mills_and_1000g_indels_21_vcf_gz'], checkIfExists: true)
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panel_of_normals_tbi = file(params.test_data['homo_sapiens']['genome']['mills_and_1000g_indels_21_vcf_gz_tbi'], checkIfExists: true)
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GATK4_MUTECT2 ( input, run_single, run_pon, run_mito, interval_label, fasta, fai, dict, germline_resource, germline_resource_tbi, panel_of_normals, panel_of_normals_tbi )
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}
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workflow test_gatk4_mutect2_cram_input {
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input = [ [ id:'test'], // meta map
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[ file(params.test_data['homo_sapiens']['illumina']['test2_paired_end_recalibrated_sorted_cram'], checkIfExists: true)],
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[ file(params.test_data['homo_sapiens']['illumina']['test2_paired_end_recalibrated_sorted_cram_crai'], checkIfExists: true)],
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[]
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]
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run_single = true
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run_pon = false
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run_mito = false
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interval_label = []
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fasta = file(params.test_data['homo_sapiens']['genome']['genome_21_fasta'], checkIfExists: true)
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fai = file(params.test_data['homo_sapiens']['genome']['genome_21_fasta_fai'], checkIfExists: true)
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dict = file(params.test_data['homo_sapiens']['genome']['genome_21_dict'], checkIfExists: true)
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germline_resource = file(params.test_data['homo_sapiens']['genome']['gnomad_r2_1_1_21_vcf_gz'], checkIfExists: true)
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germline_resource_tbi = file(params.test_data['homo_sapiens']['genome']['gnomad_r2_1_1_21_vcf_gz_tbi'], checkIfExists: true)
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panel_of_normals = file(params.test_data['homo_sapiens']['genome']['mills_and_1000g_indels_21_vcf_gz'], checkIfExists: true)
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panel_of_normals_tbi = file(params.test_data['homo_sapiens']['genome']['mills_and_1000g_indels_21_vcf_gz_tbi'], checkIfExists: true)
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GATK4_MUTECT2 ( input, run_single, run_pon, run_mito, interval_label, fasta, fai, dict, germline_resource, germline_resource_tbi, panel_of_normals, panel_of_normals_tbi )
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}
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workflow test_gatk4_mutect2_generate_pon {
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input = [ [ id:'test'], // meta map
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[ file(params.test_data['homo_sapiens']['illumina']['test_paired_end_recalibrated_sorted_bam'], checkIfExists: true)],
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[ file(params.test_data['homo_sapiens']['illumina']['test_paired_end_recalibrated_sorted_bam_bai'], checkIfExists: true)],
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[]
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]
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run_single = false
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run_pon = true
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run_mito = false
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interval_label = []
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fasta = file(params.test_data['homo_sapiens']['genome']['genome_21_fasta'], checkIfExists: true)
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fai = file(params.test_data['homo_sapiens']['genome']['genome_21_fasta_fai'], checkIfExists: true)
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dict = file(params.test_data['homo_sapiens']['genome']['genome_21_dict'], checkIfExists: true)
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germline_resource = []
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germline_resource_tbi = []
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panel_of_normals = []
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panel_of_normals_tbi = []
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GATK4_MUTECT2 ( input, run_single, run_pon, run_mito, interval_label, fasta, fai, dict, germline_resource, germline_resource_tbi, panel_of_normals, panel_of_normals_tbi )
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}
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// mitochondria mode would ideally have some mitochondria test data, but since the mitochondria settings only increase detection sensitivity, we can use the chr22 data as a stand in as it is already a small dataset, the extra variants detected compared to generate_pon shows the mode is working.
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workflow test_gatk4_mutect2_mitochondria {
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input = [ [ id:'test'], // meta map
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[ file(params.test_data['homo_sapiens']['illumina']['mitochon_standin_recalibrated_sorted_bam'], checkIfExists: true)],
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[ file(params.test_data['homo_sapiens']['illumina']['mitochon_standin_recalibrated_sorted_bam_bai'], checkIfExists: true)],
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[]
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]
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run_single = false
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run_pon = false
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run_mito = true
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interval_label = 'chr22'
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fasta = file(params.test_data['homo_sapiens']['genome']['genome_fasta'], checkIfExists: true)
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fai = file(params.test_data['homo_sapiens']['genome']['genome_fasta_fai'], checkIfExists: true)
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dict = file(params.test_data['homo_sapiens']['genome']['genome_dict'], checkIfExists: true)
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germline_resource = []
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germline_resource_tbi = []
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panel_of_normals = []
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panel_of_normals_tbi = []
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GATK4_MUTECT2 ( input, run_single, run_pon, run_mito, interval_label, fasta, fai, dict, germline_resource, germline_resource_tbi, panel_of_normals, panel_of_normals_tbi )
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}
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