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nextflow.config
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nextflow.config
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/*
* -------------------------------------------------
* shotgunmetagenomics-nf Nextflow config file
* -------------------------------------------------
* Default config options for all environments.
* Cluster-specific config options should be saved
* in the conf folder and imported under a profile
* name here.
*/
// Configurable variables/defaults
params {
// defaults. best not changed
pipelineVersion = '0.0.1dev' // Pipeline version
read_path = false
reads = false
decont_off = false
profilers = 'metaphlan2,kraken2,humann2,srst2,strainphlan'
outdir = './pipeline_output'
tracedir = "${params.outdir}"
awsregion = false
awsqueue = false
conda_init = '~/miniconda3/etc/profile.d/conda.sh'
}
profiles {
standard {
includeConfig 'conf/base.config'
}
//conda { process.conda = "$baseDir/environment.yml" }
// TODO: I prefer to use multiple conda envrionments for different small tasks.
docker { docker.enabled = true }
singularity {
singularity.enabled = true
singularity.autoMounts = true
}
conda {
includeConfig 'conf/base.config'
includeConfig 'conf/conda.config'
}
awsbatch {
includeConfig 'conf/base.config'
includeConfig 'conf/awsbatch.config'
}
gis {
includeConfig 'conf/base.config'
includeConfig 'conf/gis.config'
includeConfig 'conf/conda.config'
}
nscc {
includeConfig 'conf/base.config'
includeConfig 'conf/nscc.config'
includeConfig 'conf/conda.config'
}
test {
includeConfig 'conf/base.config'
includeConfig 'conf/test.config'
}
none {
// Don't load any config (for use with custom home configs)
}
}
// Capture exit codes from upstream processes when piping
process.shell = ['/bin/bash', '-euo', 'pipefail']
timeline {
enabled = true
file = "${params.tracedir}/pipeline_info/shotgunmetagenomics-nf_timeline.html"
}
report {
enabled = true
file = "${params.tracedir}/pipeline_info/shotgunmetagenomics-nf_report.html"
}
trace {
enabled = true
file = "${params.tracedir}/pipeline_info/shotgunmetagenomics-nf_trace.txt"
}
dag {
enabled = true
file = "${params.tracedir}/pipeline_info/shotgunmetagenomics-nf_DAG.svg"
}
manifest {
name = 'nf-core/shotgunmetagenomics'
description = 'Reference-based shotgun metagenomics analysis pipeline, part of the nf-core community.'
homePage = 'https://github.com/nf-core/shotgunmetagenomics-nf'
author = 'Chenhao Li'
// TODO: Define only here if/when we can. See https://github.com/nextflow-io/nextflow/issues/840
version = params.pipelineVersion
mainScript = 'main.nf'
nextflowVersion = '>=19.09.0-edge'
}
// 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
}
}
}