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nextflow.config
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/*
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
mskilab-org/nf-jabba Nextflow config file
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Default config options for all compute environments
----------------------------------------------------------------------------------------
*/
// Global default params, used in configs
params {
// TODO nf-core: Specify your pipeline's command line flags
// Input options (Mandatory!)
input = null
postprocess_bams = true
tumor_only = false
// References
genome = 'GATK.GRCh37'
igenomes_base = 's3://ngi-igenomes/igenomes'
igenomes_ignore = false
mski_base = 's3://mskilab-pipeline'
save_reference = false
build_only_index = false // Only build the reference indexes
download_cache = false // Do not download annotation cache
// Options to consider
// Main options
no_intervals = false // Intervals will be built from the fasta file
nucleotides_per_second = 200000 // Default interval size
tools = null // No default Variant_Calling or Annotation tools
skip_tools = null // All tools (markduplicates + baserecalibrator + QC) are used by default
split_fastq = 0 // FASTQ files will not be split by default by FASTP, set to 50000000 for 50M reads/fastq
// Modify FASTQ files (trim/split) with FASTP
trim_fastq = false // No trimming by default
clip_r1 = 0
clip_r2 = 0
three_prime_clip_r1 = 0
three_prime_clip_r2 = 0
trim_nextseq = 0
save_trimmed = false
save_split_fastqs = false
// Alignment
aligner = 'fq2bam' // Default is gpu-accelerated fq2bam; bwa-mem, bwa-mem2 and dragmap can be used too
fq2bam_mark_duplicates = true // Whether fq2bam should mark duplicates, set false if not using fq2bam
fq2bam_low_memory = false // Set to true if using fq2bam with gpus that have <24GB memory
optical_duplicate_pixel_distance = 2500 // For computing optical duplicates, 2500 for NovaSeqX+
save_mapped = false // Mapped BAMs are saved
save_output_as_bam = true // Output files from alignment are saved as bam by default and not as cram files
seq_center = null // No sequencing center to be written in read group CN field by aligner
seq_platform = null // Default platform written in read group PL field by aligner, null by default.
// Structural Variant Calling
error_rate = 0.01 // Default error_rate for Svaba
//indel_mask = null // Must provide blacklist bed file for indels based on genome to run Svaba
// SV filtering (tumor only)
pad_junc_filter = 1000 // Default Padding for SV Junction filtering
// AMBER options
target_bed_amber = null // pass a bed file with target regions for running AMBER on targeted sequencing sample
// HetPileups options
filter_hets = "TRUE"
max_depth = 1000
// SigprofilerAssignment options
sigprofilerassignment_cosmic_version = 3.4
// fragCounter options
midpoint_frag = "TRUE" // If TRUE only count midpoint if FALSE then count bin footprint of every fragment interval: Default=TRUE
windowsize_frag = 1000 // Window / bin size : Default=200 (but dryclean uses 1000 binsize)
minmapq_frag = 60 // Minimal map quality : Default = 1
paired_frag = "TRUE" // Is the dataset paired : Default = TRUE
exome_frag = "FALSE" // Use exons as bins instead of fixed window : Default = FALSE
// Dryclean options
center_dryclean = "TRUE"
cbs_dryclean = "FALSE"
cnsignif_dryclean = 0.00001
wholeGenome_dryclean = "TRUE"
blacklist_dryclean = "FALSE"
blacklist_path_dryclean = "NA"
germline_filter_dryclean = "FALSE"
germline_file_dryclean = "NA"
human_dryclean = "TRUE"
field_dryclean = "reads"
// ASCAT options
field_ascat = "foreground"
hets_thresh_ascat = 0.2
penalty_ascat = 70
gc_correct_ascat = "TRUE"
rebin_width_ascat = 50000
from_maf_ascat = "FALSE"
// CBS options
cnsignif_cbs = 0.01
field_cbs = "foreground"
name_cbs = "tumor"
// JaBbA options
blacklist_junctions_jabba = "NULL"
geno_jabba = "FALSE"
indel_jabba = "exclude"
tfield_jabba = "tier"
iter_jabba = 2
rescue_window_jabba = 10000
rescue_all_jabba = "TRUE"
nudgebalanced_jabba = "TRUE"
edgenudge_jabba = 0.1
strict_jabba = "FALSE"
allin_jabba = "FALSE"
field_jabba = "foreground"
maxna_jabba = 0.9
ploidy_jabba = "NA"
purity_jabba = "NA"
pp_method_jabba = "ppgrid"
cnsignif_jabba = 0.00001
slack_jabba = 20
linear_jabba = "FALSE"
tilim_jabba = 7200
epgap_jabba = 0.000001
fix_thres_jabba = -1
lp_jabba = "TRUE"
ism_jabba = "TRUE"
filter_loose_jabba = "FALSE"
gurobi_jabba = "FALSE"
verbose_jabba = "TRUE"
// Allelic CN (Non-Integer Balance)
field_non_integer_balance = "foreground"
hets_thresh_non_integer_balance = 0.2
overwrite_non_integer_balance = "TRUE"
lambda_non_integer_balance = 20
allin_non_integer_balance = "TRUE"
fix_thresh_non_integer_balance = 10
nodebounds_non_integer_balance = "TRUE"
ism_non_integer_balance = "FALSE"
epgap_non_integer_balance = 0.000001
tilim_non_integer_balance = 6000
gurobi_non_integer_balance = "FALSE"
pad_non_integer_balance = 101
// Allelic CN (LP-Phased Balance)
lambda_lp_phased_balance = 100
cnloh_lp_phased_balance = "TRUE"
major_lp_phased_balance = "TRUE"
allin_lp_phased_balance = "TRUE"
marginal_lp_phased_balance = "TRUE"
from_maf_lp_phased_balance = "FALSE"
ism_lp_phased_balance = "FALSE"
epgap_lp_phased_balance = 0.001
hets_thresh_lp_phased_balance = 0.2
min_bins_lp_phased_balance = 3
min_width_lp_phased_balance = 0
trelim_lp_phased_balance = 32000
reward_lp_phased_balance = 10
nodefileind_lp_phased_balance = 3
tilim_lp_phased_balance = 6000
// HRDetect
hrdetect_mask = null
// Variant Calling
only_paired_variant_calling = false // if true, skips germline variant calling for normal-paired samples
ascat_ploidy = null // default value for ASCAT
ascat_min_base_qual = 20 // default value for ASCAT
ascat_min_counts = 10 // default value for ASCAT
ascat_min_map_qual = 35 // default value for ASCAT
ascat_purity = null // default value for ASCAT
cf_ploidy = "2" // default value for Control-FREEC
cf_coeff = 0.05 // default value for Control-FREEC
cf_contamination = 0 // default value for Control-FREEC
cf_contamination_adjustment = false // by default we are not using this in Control-FREEC
cf_mincov = 0 // ControlFreec default values
cf_minqual = 0 // ControlFreec default values
cf_window = null // by default we are not using this in Control-FREEC
cnvkit_reference = null // by default the reference is build from the fasta file
concatenate_vcfs = false // by default we don't concatenate the germline-vcf-files
ignore_soft_clipped_bases = false // no --dont-use-soft-clipped-bases for GATK Mutect2
wes = false // Set to true, if data is exome/targeted sequencing data. Used to use correct models in various variant callers
joint_germline = false // g.vcf & joint germline calling are not run by default if HaplotypeCaller is selected
joint_mutect2 = false // if true, enables patient-wise multi-sample somatic variant calling
sentieon_haplotyper_emit_mode = "variant" // default value for Sentieon haplotyper
// Annotation
dbnsfp = null // No dbnsfp processed file
dbnsfp_consequence = null // No default consequence for dbnsfp plugin
dbnsfp_fields = "rs_dbSNP,HGVSc_VEP,HGVSp_VEP,1000Gp3_EAS_AF,1000Gp3_AMR_AF,LRT_score,GERP++_RS,gnomAD_exomes_AF" // Default fields for dbnsfp plugin
dbnsfp_tbi = null // No dbnsfp processed file index
outdir_cache = null // No default outdir cache
snpeff_cache = 's3://annotation-cache/snpeff_cache/'
spliceai_indel = null // No spliceai_indel file
spliceai_indel_tbi = null // No spliceai_indel file index
spliceai_snv = null // No spliceai_snv file
spliceai_snv_tbi = null // No spliceai_snv file index
use_annotation_cache_keys = false
vep_cache = null //'s3://annotation-cache/vep_cache/' but not using it
vep_custom_args = "--everything --filter_common --per_gene --total_length --offline --format vcf" // Default arguments for VEP
vep_dbnsfp = null // dbnsfp plugin disabled within VEP
vep_include_fasta = false // Don't use fasta file for annotation with VEP
vep_loftee = null // loftee plugin disabled within VEP
vep_out_format = "vcf"
vep_spliceai = null // spliceai plugin disabled within VEP
vep_spliceregion = null // spliceregion plugin disabled within VEP
// MultiQC options
multiqc_config = null
multiqc_title = null
multiqc_logo = null
max_multiqc_email_size = '25.MB'
multiqc_methods_description = null
// Boilerplate options
outdir = null
publish_dir_mode = 'copy'
email = null
email_on_fail = null
plaintext_email = false
monochrome_logs = false
hook_url = null
help = false
version = false
// Config options
config_profile_name = null
config_profile_description = null
custom_config_version = 'master'
custom_config_base = "https://raw.githubusercontent.com/nf-core/configs/${params.custom_config_version}"
config_profile_contact = null
config_profile_url = null
// Max resource options
// Defaults only, expecting to be overwritten
max_memory = '256.GB'
max_cpus = 16
max_time = '360.h'
max_accelerator = 8
// Schema validation default options
validationFailUnrecognisedParams = false
validationLenientMode = false
validationSchemaIgnoreParams = 'genomes, cf_ploidy'
validationShowHiddenParams = false
validate_params = false
}
// Load base.config by default for all pipelines
includeConfig 'conf/base.config'
// Load nf-core custom profiles from different Institutions
try {
includeConfig "${params.custom_config_base}/nfcore_custom.config"
} catch (Exception e) {
System.err.println("WARNING: Could not load nf-core/config profiles: ${params.custom_config_base}/nfcore_custom.config")
}
// Load mskilab-org/nf-jabba custom profiles from different institutions.
// Warning: Uncomment only if a pipeline-specific instititutional config already exists on nf-core/configs!
// try {
// includeConfig "${params.custom_config_base}/pipeline/nfjabba.config"
// } catch (Exception e) {
// System.err.println("WARNING: Could not load nf-core/config/nfjabba profiles: ${params.custom_config_base}/pipeline/nfjabba.config")
// }
profiles {
chr21_test {
process {
withName: 'GRIDSS_GRIDSS' {
cpus = { check_max( 4 * task.attempt, 'cpus' ) }
memory = { check_max( 32.GB * task.attempt, 'memory' ) }
time = { check_max( 2.h * task.attempt, 'time' ) }
}
withName: 'GRIDSS_SOMATIC' {
cpus = { check_max( 2 * task.attempt, 'cpus' ) }
memory = { check_max( 8.GB * task.attempt, 'memory' ) }
time = { check_max( 1.h * task.attempt, 'time' ) }
}
withName: 'SAGE_SOMATIC' {
cpus = { check_max( 20 * task.attempt, 'cpus' ) }
memory = { check_max( 16.GB * task.attempt, 'memory' ) }
time = { check_max( 1.h * task.attempt, 'time' ) }
}
withName: 'SAGE_GERMLINE' {
cpus = { check_max( 8 * task.attempt, 'cpus' ) }
memory = { check_max( 16.GB * task.attempt, 'memory' ) }
time = { check_max( 1.h * task.attempt, 'time' ) }
}
withName: 'JABBA' {
cpus = { check_max( 4 * task.attempt, 'cpus' ) }
memory = { check_max( 16.GB * task.attempt, 'memory' ) }
time = { check_max( 1.h * task.attempt, 'time' ) }
}
withName: 'FUSIONS' {
cpus = { check_max( 4 * task.attempt, 'cpus' ) }
memory = { check_max( 16.GB * task.attempt, 'memory' ) }
time = { check_max( 1.h * task.attempt, 'time' ) }
}
}
}
debug {
dumpHashes = true
process.beforeScript = 'echo $HOSTNAME'
cleanup = false
}
conda {
conda.enabled = true
docker.enabled = false
singularity.enabled = false
podman.enabled = false
shifter.enabled = false
charliecloud.enabled = false
apptainer.enabled = false
}
mamba {
conda.enabled = true
conda.useMamba = true
docker.enabled = false
singularity.enabled = false
podman.enabled = false
shifter.enabled = false
charliecloud.enabled = false
apptainer.enabled = false
}
docker {
docker.enabled = true
docker.userEmulation = true
conda.enabled = false
singularity.enabled = false
podman.enabled = false
shifter.enabled = false
charliecloud.enabled = false
apptainer.enabled = false
}
arm {
docker.runOptions = '-u $(id -u):$(id -g) --platform=linux/amd64'
}
singularity {
singularity.enabled = true
singularity.autoMounts = true
singularity.runOptions = '--env CPLEX_DIR=/opt/cplex'
conda.enabled = false
docker.enabled = false
podman.enabled = false
shifter.enabled = false
charliecloud.enabled = false
apptainer.enabled = false
}
podman {
podman.enabled = true
conda.enabled = false
docker.enabled = false
singularity.enabled = false
shifter.enabled = false
charliecloud.enabled = false
apptainer.enabled = false
}
shifter {
shifter.enabled = true
conda.enabled = false
docker.enabled = false
singularity.enabled = false
podman.enabled = false
charliecloud.enabled = false
apptainer.enabled = false
}
charliecloud {
charliecloud.enabled = true
conda.enabled = false
docker.enabled = false
singularity.enabled = false
podman.enabled = false
shifter.enabled = false
apptainer.enabled = false
}
apptainer {
apptainer.enabled = true
conda.enabled = false
docker.enabled = false
singularity.enabled = false
podman.enabled = false
shifter.enabled = false
charliecloud.enabled = false
}
gitpod {
executor.name = 'local'
executor.cpus = 16
executor.memory = 60.GB
}
//basic test config files
test { includeConfig 'conf/test.config' }
test_full { includeConfig 'conf/test_full.config' }
}
// Set default registry for Apptainer, Docker, Podman and Singularity independent of -profile
// Will not be used unless Apptainer / Docker / Podman / Singularity are enabled
// Set to your registry if you have a mirror of containers
apptainer.registry = 'quay.io'
docker.registry = 'quay.io'
podman.registry = 'quay.io'
singularity.registry = 'quay.io'
// Nextflow plugins
plugins {
id 'nf-validation' // Validation of pipeline parameters and creation of an input channel from a sample sheet
}
// Load igenomes.config if required
if (!params.igenomes_ignore) {
includeConfig 'conf/igenomes.config'
} else {
params.genomes = [:]
}
// Export these variables to prevent local Python/R libraries from conflicting with those in the container
// The JULIA depot path has been adjusted to a fixed path `/usr/local/share/julia` that needs to be used for packages in the container.
// See https://apeltzer.github.io/post/03-julia-lang-nextflow/ for details on that. Once we have a common agreement on where to keep Julia packages, this is adjustable.
env {
PYTHONNOUSERSITE = 1
R_PROFILE_USER = "/.Rprofile"
R_ENVIRON_USER = "/.Renviron"
JULIA_DEPOT_PATH = "/usr/local/share/julia"
}
// Capture exit codes from upstream processes when piping
process.shell = ['/bin/bash', '-euo', 'pipefail']
def trace_timestamp = new java.util.Date().format( 'yyyy-MM-dd_HH-mm-ss')
timeline {
enabled = true
file = "${params.outdir}/pipeline_info/execution_timeline_${trace_timestamp}.html"
}
report {
enabled = true
file = "${params.outdir}/pipeline_info/execution_report_${trace_timestamp}.html"
}
trace {
enabled = true
file = "${params.outdir}/pipeline_info/execution_trace_${trace_timestamp}.txt"
}
dag {
enabled = true
file = "${params.outdir}/pipeline_info/pipeline_dag_${trace_timestamp}.html"
}
manifest {
name = 'mskilab-org/nf-jabba'
author = """Tanubrata Dey and Shihab Dider"""
homePage = 'https://github.com/mskilab-org/nf-casereports'
description = """Clinical Core Pipeline for MSkiLab"""
mainScript = 'main.nf'
nextflowVersion = '!>=23.04.0'
version = '1.0dev'
doi = ''
}
// Load modules.config for DSL2 module specific options
includeConfig 'conf/modules.config'
// prepare reference, pre-alignment steps
includeConfig 'conf/modules/prepare_cache.config'
includeConfig 'conf/modules/prepare_genome.config'
includeConfig 'conf/modules/prepare_intervals.config'
// Alignment configurations
includeConfig 'conf/modules/aligner.config'
includeConfig 'conf/modules/alignment_to_fastq.config'
includeConfig 'conf/modules/markduplicates.config'
includeConfig 'conf/modules/prepare_recalibration.config'
includeConfig 'conf/modules/recalibrate.config'
includeConfig 'conf/modules/trimming.config'
// AMBER configurations
includeConfig 'conf/modules/amber.config'
// SV configurations
includeConfig 'conf/modules/structural_variants.config'
// fragCounter configurations
includeConfig 'conf/modules/fragcounter.config'
// SNV calling configurations (sage and strelka)
includeConfig 'conf/modules/snv_calling.config'
// Variant annotation configurations (snpeff and pave)
includeConfig 'conf/modules/variant_annotation.config'
// Signatures configurations (snpeff and pave)
includeConfig 'conf/modules/sigprofilerassignment.config'
// Dryclean configurations
includeConfig 'conf/modules/dryclean.config'
// PURPLE configurations
includeConfig 'conf/modules/purple.config'
// CBS configurations
includeConfig 'conf/modules/cbs.config'
// JaBbA configurations
includeConfig 'conf/modules/jabba.config'
// Events configurations
includeConfig 'conf/modules/events.config'
// Fusions configurations
includeConfig 'conf/modules/fusions.config'
// Allelic CN configurations
includeConfig 'conf/modules/allelic_cn.config'
// HRDetect configurations
includeConfig 'conf/modules/hrdetect.config'
// Function to ensure that resource requirements don't go beyond
// a maximum limit
def check_max(obj, type) {
if (type == 'memory') {
try {
if (obj.compareTo(params.max_memory as nextflow.util.MemoryUnit) == 1)
return params.max_memory as nextflow.util.MemoryUnit
else
return obj
} catch (all) {
println " ### ERROR ### Max memory '${params.max_memory}' is not valid! Using default value: $obj"
return obj
}
} else if (type == 'time') {
try {
if (obj.compareTo(params.max_time as nextflow.util.Duration) == 1)
return params.max_time as nextflow.util.Duration
else
return obj
} catch (all) {
println " ### ERROR ### Max time '${params.max_time}' is not valid! Using default value: $obj"
return obj
}
} else if (type == 'cpus') {
try {
return Math.min( obj, params.max_cpus as int )
} catch (all) {
println " ### ERROR ### Max cpus '${params.max_cpus}' is not valid! Using default value: $obj"
return obj
}
} else if (type == 'accelerator') {
try {
return Math.min( obj, params.max_accelerator as int )
} catch (all) {
println " ### ERROR ### Max gpu '${params.max_accelerator}' is not valid! Using default value: $obj"
return obj
}
}
}