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nextflow.config
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nextflow.config
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/*
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
aarandad / ampseq_workflow Nextflow config file
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Default config options for all compute environments
----------------------------------------------------------------------------------------
*/
params {
// mandatory arguments
target = null
readDIR = null // specify --readDIR in terminal
// or overwrite here
outDIR = "results" // can overwite with --outDIR
sequencer = null // sequencer used
QC_only = false // Specify QC only workflows
cutadapt_minlen = 100 // Discard trimmed reads shorter than N
refseq_fasta = null
masked_fasta = null
genome = "v1"
target = null
parallel = true
// optional, workflow specific args
denoised_asvs = null // set if running `postproc_only` workflow
// cutadapt
allowed_errors = 0
// Denoising step //
alignment_threshold = 60
// trf
mask_tandem_repeats = true
trf_min_score = 25
trf_max_period = 3
// homopolymers
mask_homopolymers = true
homopolymer_threshold = 5 // Longest allowable homopolymer in reference sequence
// dada
pool = "pseudo" // options: false, pseudo, true
band_size = 16 // default
omega_a = 1e-120
maxEE = 3
just_concatenate = true
// config options
custom_config_base = "conf"
// Max resource options
// Defaults only, expecting to be overwritten
max_memory = '32.GB'
max_cpus = '8'
max_time = '240.h'
}
// contains resource configurations
includeConfig 'conf/base.config'
// Uncomment if adding a site profile
// try {
// includeConfig "${params.custom_config_base}/custom.config"
// } catch (Exception e) {
// System.err.println("WARNING: Could not load custom config profile: ${params.custom_config_base}/custom.config")
// }
profiles {
conda {
conda.enabled = true
docker.enabled = false
apptainer.enabled = false
}
mamba {
conda.enabled = true
conda.useMamba = true
docker.enabled = false
apptainer.enabled = false
}
docker {
conda.enabled = false
docker.enabled = true
docker.userEmulation = true
apptainer.enabled = false
process.container = "eppicenter/mad4hatter:latest"
}
apptainer {
conda.enabled = false
apptainer.enabled = true
apptainer.autoMounts = true
docker.enabled = false
process.container = "file://mad4hatter_latest.sif"
}
sge {
process {
executor = "sge"
scratch = true
stageInMode = "copy"
stageOutMode = "move"
errorStrategy = "retry"
clusterOptions = '-l scratch=100G -S /bin/bash -o job.log -e job.err'
}
}
slurm {
process {
executor = 'slurm'
scratch = true
stageInMode = "copy"
stageOutMode = "move"
errorStrategy = "retry"
}
}
}
manifest {
name = 'eppicenter/MAD4HATTER'
homePage = 'https://eppicenter.github.io/mad4hatter/'
description = 'An open-source analysis pipeline to detect multiplexed amplicons'
mainScript = 'main.nf'
nextflowVersion = '!>=21.10.6'
version = 'v0.2.1'
defaultBranch = 'v0.2.1'
}
env {
PYTHONNOUSERSITE = 1
R_PROFILE_USER = "/.Rprofile"
R_ENVIRON_USER = "/.Renviron"
}
// Function to ensure that resource requirements don't go beyond
// a maximum limit
def check_max(obj, type) {
if (type == 'memory') {
try {
if (obj.compareTo(params.max_memory as nextflow.util.MemoryUnit) == 1)
return params.max_memory as nextflow.util.MemoryUnit
else
return obj
} catch (all) {
println " ### ERROR ### Max memory '${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
}
}
}