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nextflow.config
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/*
* ------------------------------------------------------
* Based on the nf-core/rnaseq Nextflow base config file
* ------------------------------------------------------
*/
// Include parameters from configuration file
// Load base.config by default for all pipelines
includeConfig 'conf/base.config'
params {
source = null
target = null
ncbi_source = false
ncbi_target = false
igenomes_source = false
igenomes_target = false
distance = 'medium'
aligner = 'lastz'
haplotypes = false
srcSize = 20000000
tgtSize = 10000000
tgtOvlp = 100000
srcOvlp = 0
qscores = null
outdir = "${launchDir}/OUTPUTS"
annotation = null
annotation_format = null
custom = null
chainCustom = null
chain_name = 'liftover'
liftover_algorithm = 'liftover'
maf_tgt_name = 'tgt'
igenomes_base = 's3://ngi-igenomes/igenomes/'
igenomes_ignore = false
no_maf = false
no_netsynt = false
mafTools = null
report = false
reciprocal_best = false
mm2_full_alignment = false
mm2_lowmem = false
minimap2_threads = 2
gsalign_threads = 2
max_memory = (Runtime.runtime.maxMemory() as nextflow.util.MemoryUnit).toGiga().GB
max_cpus = Runtime.runtime.availableProcessors() == 1 ? 1 : Runtime.runtime.availableProcessors() - 1
max_time = '240.h'
help = false
mamba = false
publish_dir_mode = 'copy'
extra_cluster_options = null
custom_config_version = 'master'
custom_config_base = "https://raw.githubusercontent.com/nf-core/configs/${params.custom_config_version}"
my_config = null
}
try {
includeConfig "${params.custom_config_base}/nfcore_custom.config"
} catch (Exception e) {
System.err.println("WARNING: Could not load nf-core/config profiles: ${params.custom_config_base}/nfcore_custom.config")
}
profiles {
standard {
process.executor = 'local'
executor.queueSize = Runtime.runtime.availableProcessors() == 1 ? 1 : Runtime.runtime.availableProcessors() - 1
executor.submitRateLimit = '4sec'
}
verysmall {
includeConfig 'conf/verysmall.config'
process.executor = 'local'
executor.queueSize = Runtime.runtime.availableProcessors() == 1 ? 1 : Runtime.runtime.availableProcessors() - 1
executor.submitRateLimit = '4sec'
}
local {
process.executor = 'local'
executor.queueSize = Runtime.runtime.availableProcessors() == 1 ? 1 : Runtime.runtime.availableProcessors() - 1
executor.submitRateLimit = '4sec'
}
eddie {
includeConfig 'conf/eddie.config'
singularity.enabled = true
singularity.autoMounts = true
}
eddie_conda {
conda.enabled = true
includeConfig 'conf/eddie_conda.config'
process.conda = "$projectDir/environment.yml"
conda.createTimeout = '8 h'
conda.useMamba = params.mamba ? true : false
}
conda {
conda.enabled = true
params.enable_conda = true
docker.enabled = false
singularity.enabled = false
podman.enabled = false
shifter.enabled = false
charliecloud.enabled = false
conda.createTimeout = '8 h'
includeConfig 'conf/conda.config'
process.conda = "$projectDir/environment.yml"
conda.useMamba = params.mamba ? true : false
}
docker {
process.container = "nflo:latest"
docker.enabled = true
docker.userEmulation = true
singularity.enabled = false
podman.enabled = false
shifter.enabled = false
charliecloud.enabled = false
}
singularity {
process.container = "docker-daemon://nflo:latest"
singularity.enabled = true
singularity.autoMounts = true
docker.enabled = false
podman.enabled = false
shifter.enabled = false
charliecloud.enabled = false
}
podman {
podman.enabled = true
docker.enabled = false
singularity.enabled = false
shifter.enabled = false
charliecloud.enabled = false
}
shifter {
shifter.enabled = true
docker.enabled = false
singularity.enabled = false
podman.enabled = false
charliecloud.enabled = false
}
charliecloud {
charliecloud.enabled = true
docker.enabled = false
singularity.enabled = false
podman.enabled = false
shifter.enabled = false
}
uge {
process.executor = 'sge'
}
sge {
process.executor = 'sge'
}
slurm {
process.executor = 'slurm'
}
test {
includeConfig 'conf/test.config'
}
custom_profile {
includeConfig "${params.my_config}"
}
}
// import igenome configuration
if (!params.igenomes_ignore) {
includeConfig 'conf/igenomes.config'
}
// Add reporting configuration
def trace_timestamp = new java.util.Date().format( 'yyyy-MM-dd_HH-mm-ss')
timeline {
enabled = true
file = "${params.outdir}/reports/execution_timeline_${trace_timestamp}.html"
}
report {
enabled = true
file = "${params.outdir}/reports/execution_report_${trace_timestamp}.html"
}
trace {
enabled = true
file = "${params.outdir}/reports/execution_trace_${trace_timestamp}.txt"
}
dag {
enabled = true
file = "${params.outdir}/reports/pipeline_dag_${trace_timestamp}.html"
}
manifest {
name = 'evotools/nf-LO'
author = 'Andrea Talenti'
homePage = 'https://github.com/evotools/nf-LO'
description = 'Nextflow lift over pipeline.'
mainScript = 'main.nf'
nextflowVersion = '>=21.10.0'
defaultBranch = 'main'
version = '1.8.4'
}
// 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
}
}
}