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nextflow.config
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nextflow.config
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/*
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sanger-tol/readmapping Nextflow config file
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Default config options for all compute environments
----------------------------------------------------------------------------------------
*/
// Global default params, used in configs
params {
// Input options
input = null
vector_db = "${projectDir}/assets/vectorDB.tar.gz"
bwamem2_index = null
fasta = null
header = null
// Output format options
outfmt = "cram"
compression = "crumble"
// Execution options
use_work_dir_as_temp = false
// Boilerplate options
outdir = null
publish_dir_mode = 'copy'
email = null
email_on_fail = null
plaintext_email = false
monochrome_logs = false
monochromeLogs = false // Needed for nf_validation
hook_url = null
help = false
version = false
validate_params = true
schema_ignore_params = ''
// Config options
config_profile_name = null
config_profile_description = null
custom_config_version = 'master'
custom_config_base = "https://raw.githubusercontent.com/nf-core/configs/${params.custom_config_version}"
config_profile_contact = null
config_profile_url = null
// Max resource options
// Defaults only, expecting to be overwritten
max_memory = '128.GB'
max_cpus = 16
max_time = '240.h'
// Schema validation default options
validationFailUnrecognisedParams = false
validationLenientMode = false
validationSchemaIgnoreParams = ''
validationShowHiddenParams = false
validate_params = true
}
// 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 sanger-tol/readmapping custom profiles from different institutions.
profiles {
cleanup { cleanup = true }
debug {
dumpHashes = true
process.beforeScript = 'echo $HOSTNAME'
cleanup = false
nextflow.enable.configProcessNamesValidation = true
}
conda {
conda.enabled = true
docker.enabled = false
singularity.enabled = false
podman.enabled = false
shifter.enabled = false
charliecloud.enabled = false
conda.channels = ['conda-forge', 'bioconda', 'defaults']
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
conda.enabled = false
singularity.enabled = false
podman.enabled = false
shifter.enabled = false
charliecloud.enabled = false
apptainer.enabled = false
docker.runOptions = '-u $(id -u):$(id -g)'
}
arm {
docker.runOptions = '-u $(id -u):$(id -g) --platform=linux/amd64'
}
singularity {
singularity.enabled = true
singularity.autoMounts = true
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
apptainer.autoMounts = true
conda.enabled = false
docker.enabled = false
singularity.enabled = false
podman.enabled = false
shifter.enabled = false
charliecloud.enabled = false
}
wave {
apptainer.ociAutoPull = true
singularity.ociAutoPull = true
wave.enabled = true
wave.freeze = true
wave.strategy = 'conda,container'
}
gitpod {
executor.name = 'local'
executor.cpus = 4
executor.memory = 8.GB
}
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 '[email protected]' // Validation of pipeline parameters and creation of an input channel from a sample sheet
}
// 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']
// Disable process selector warnings by default. Use debug profile to enable warnings.
nextflow.enable.configProcessNamesValidation = false
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 = 'sanger-tol/readmapping'
author = '@priyanka-surana'
homePage = 'https://github.com/sanger-tol/readmapping'
description = 'Pipeline to map reads generated using different sequencing technologies against a genome assembly.'
mainScript = 'main.nf'
nextflowVersion = '!>=22.10.1'
version = '1.3.1'
doi = '10.5281/zenodo.6563577'
}
// Load modules.config for DSL2 module specific options
includeConfig 'conf/modules.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
}
}
}
/*
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Increasing the number of CPUs often gives diminishing returns, so we increase it
following a logarithm curve. Example:
- 0 < value <= 1: start + step
- 1 < value <= 2: start + 2*step
- 2 < value <= 4: start + 3*step
- 4 < value <= 8: start + 4*step
In order to support re-runs, the step increase may be multiplied by the attempt
number prior to calling this function.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
// Modified logarithm function that doesn't return negative numbers
def positive_log(value, base) {
if (value <= 1) {
return 0
} else {
return Math.log(value)/Math.log(base)
}
}
def log_increase_cpus(start, step, value, base) {
return check_max(start + step * (1 + Math.ceil(positive_log(value, base))), 'cpus')
}