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test.config
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/*
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Nextflow config file for running minimal tests
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Defines input files and everything required to run a fast and simple pipeline test.
Use as follows:
nextflow run nf-core/sarek -profile test,<extra_test_profile>,<docker/singularity> --outdir <OUTDIR>
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
try {
includeConfig "https://raw.githubusercontent.com/nf-core/modules/master/tests/config/test_data.config"
} catch (Exception e) {
System.err.println("WARNING: Could not load nf-core/modules test data config")
}
params {
config_profile_name = 'Test profile'
config_profile_description = 'Minimal test dataset to check pipeline function'
// Limit resources so that this can run on GitHub Actions
max_cpus = 2
max_memory = '6.5GB'
max_time = '8.h'
// Input data
input = "${projectDir}/tests/csv/3.0/fastq_single.csv"
// Small reference genome
genome = null
igenomes_ignore = true
dbsnp = params.test_data['homo_sapiens']['genome']['dbsnp_146_hg38_vcf_gz']
fasta = params.test_data['homo_sapiens']['genome']['genome_fasta']
germline_resource = params.test_data['homo_sapiens']['genome']['gnomad_r2_1_1_vcf_gz']
intervals = params.test_data['homo_sapiens']['genome']['genome_interval_list']
known_indels = params.test_data['homo_sapiens']['genome']['mills_and_1000g_indels_vcf_gz']
snpeff_db = 'WBcel235.99'
snpeff_genome = 'WBcel235'
vep_cache_version = 104
vep_genome = 'WBcel235'
vep_species = 'caenorhabditis_elegans'
// Ignore params that will throw warning through params validation
schema_ignore_params = "genomes,test_data"
}
profiles {
annotation {
params.input = "${projectDir}/tests/csv/3.0/vcf_single.csv"
params.step = 'annotate'
}
no_intervals {
params.no_intervals = true
}
pair {
params.input = "${projectDir}/tests/csv/3.0/fastq_pair.csv"
}
markduplicates_bam {
params.input = "${projectDir}/tests/csv/3.0/mapped_single_bam.csv"
params.step = 'markduplicates'
}
markduplicates_cram {
params.input = "${projectDir}/tests/csv/3.0/mapped_single_cram.csv"
params.step = 'markduplicates'
}
prepare_recalibration_bam {
params.input = "${projectDir}/tests/csv/3.0/mapped_single_bam.csv"
params.step = 'prepare_recalibration'
}
prepare_recalibration_cram {
params.input = "${projectDir}/tests/csv/3.0/mapped_single_cram.csv"
params.step = 'prepare_recalibration'
}
recalibrate_bam {
params.input = "${projectDir}/tests/csv/3.0/prepare_recalibration_single_bam.csv"
params.step = 'recalibrate'
}
recalibrate_cram {
params.input = "${projectDir}/tests/csv/3.0/prepare_recalibration_single_cram.csv"
params.step = 'recalibrate'
}
save_bam_mapped {
params.save_bam_mapped = true
}
skip_bqsr {
params.skip_tools = "baserecalibrator"
}
skip_markduplicates {
params.skip_tools = "markduplicates"
}
split_fastq {
params.split_fastq = 150000
params.save_split_fastqs = true
}
targeted {
params.intervals = params.test_data['homo_sapiens']['genome']['genome_multi_interval_bed']
params.wes = true
params.nucleotides_per_second = 20
}
tools {
params.input = "${projectDir}/tests/csv/3.0/recalibrated.csv"
params.dbsnp = params.test_data['homo_sapiens']['genome']['dbsnp_138_hg38_21_vcf_gz']
params.fasta = params.test_data['homo_sapiens']['genome']['genome_21_fasta']
params.germline_resource = params.test_data['homo_sapiens']['genome']['gnomad_r2_1_1_21_vcf_gz']
params.intervals = params.test_data['homo_sapiens']['genome']['genome_21_multi_interval_bed']
params.pon = params.test_data['homo_sapiens']['genome']['mills_and_1000g_indels_21_vcf_gz']
params.step = 'variant_calling'
params.joint_germline = true
params.wes = true
params.nucleotides_per_second = 20
}
tools_germline {
params.input = "${projectDir}/tests/csv/3.0/recalibrated_germline.csv"
params.dbsnp = params.test_data['homo_sapiens']['genome']['dbsnp_138_hg38_21_vcf_gz']
params.known_indels = params.test_data['homo_sapiens']['genome']['mills_and_1000g_indels_21_vcf_gz']
params.fasta = params.test_data['homo_sapiens']['genome']['genome_21_fasta']
params.intervals = params.test_data['homo_sapiens']['genome']['genome_21_multi_interval_bed']
params.step = 'variant_calling'
params.wes = true
params.nucleotides_per_second = 20
}
tools_tumoronly {
params.input = "${projectDir}/tests/csv/3.0/recalibrated_tumoronly.csv"
params.dbsnp = params.test_data['homo_sapiens']['genome']['dbsnp_138_hg38_21_vcf_gz']
params.fasta = params.test_data['homo_sapiens']['genome']['genome_21_fasta']
params.germline_resource = params.test_data['homo_sapiens']['genome']['gnomad_r2_1_1_21_vcf_gz']
params.intervals = params.test_data['homo_sapiens']['genome']['genome_21_multi_interval_bed']
params.pon = params.test_data['homo_sapiens']['genome']['mills_and_1000g_indels_21_vcf_gz']
params.step = 'variant_calling'
params.joint_germline = true
params.wes = true
params.nucleotides_per_second = 20
}
tools_somatic {
params.input = "${projectDir}/tests/csv/3.0/recalibrated_somatic.csv"
params.chr_dir = params.test_data['homo_sapiens']['genome']['genome_21_chromosomes_dir']
params.dbsnp = params.test_data['homo_sapiens']['genome']['dbsnp_138_hg38_21_vcf_gz']
params.fasta = params.test_data['homo_sapiens']['genome']['genome_21_fasta']
params.germline_resource = params.test_data['homo_sapiens']['genome']['gnomad_r2_1_1_21_vcf_gz']
params.intervals = params.test_data['homo_sapiens']['genome']['genome_21_multi_interval_bed']
params.pon = params.test_data['homo_sapiens']['genome']['mills_and_1000g_indels_21_vcf_gz']
params.step = 'variant_calling'
params.joint_germline = true
params.wes = true
params.nucleotides_per_second = 20
}
trimming {
params.clip_r1 = 1
params.clip_r2 = 1
params.three_prime_clip_r1 = 1
params.three_prime_clip_r2 = 1
params.trim_fastq = true
}
umi {
params.input = "${projectDir}/tests/csv/3.0/fastq_umi.csv"
params.umi_read_structure = '7M1S+T'
}
use_gatk_spark {
params.use_gatk_spark = 'baserecalibrator,markduplicates'
}
variantcalling_channels {
params.input = "${projectDir}/tests/csv/3.0/recalibrated.csv"
params.fasta = params.test_data['homo_sapiens']['genome']['genome_21_fasta']
params.intervals = params.test_data['homo_sapiens']['genome']['genome_21_multi_interval_bed']
params.wes = true
params.step = 'variant_calling'
params.nucleotides_per_second = 20
}
alignment_to_fastq {
params.input = "${projectDir}/tests/csv/3.0/bam_for_remapping.csv"
}
}