Add proteinfold-specific CRG config
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profiles {
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crg {
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params {
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config_profile_contact = 'Athanasios Baltzis (@athbaltzis)'
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config_profile_description = 'nf-core/proteinfold CRG profile provided by nf-core/configs'
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}
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executor.name = 'crg'
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process {
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queue = 'short-sl7,long-sl7'
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withName: 'RUN_AF2|RUN_AF2_PRED|COLABFOLD_BATCH' {
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cpus = 1
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memory = "30 GB"
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queue = params.use_gpu ? 'gpu' : 'long-sl7'
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clusterOptions = { ( task.queue == 'gpu' ? '-l gpu=1' : '' ) }
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}
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withName: 'ARIA2' {
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time = '12h'
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}
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withName: 'MMSEQS_COLABFOLDSEARCH' {
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queue = 'mem_512'
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memory = "100 GB"
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cpus = 8
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time = '12h'
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}
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}
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}
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}
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# nf-core/configs: CRG proteinfold specific configuration
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Extra specific configuration for proteinfold pipeline
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## Usage
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To use, run the pipeline with `-profile crg`.
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This will download and launch the proteinfold specific [`crg.config`](../../../conf/pipeline/proteinfold/crg.config) which has been pre-configured with a setup suitable for the sge cluster.
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Example: `nextflow run nf-core/proteinfold -profile crg`
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## proteinfold specific configurations for CRG
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Specific configurations for CRG has been made for proteinfold.
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### General profiles
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<!-- TODO -->
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### Contextual profiles
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<!-- TODO -->
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/*
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* -------------------------------------------------
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* nfcore/proteinfold custom profile Nextflow config file
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* -------------------------------------------------
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* Config options for custom environments.
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* Cluster-specific config options should be saved
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* in the conf/pipeline/proteinfold folder and imported
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* under a profile name here.
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*/
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profiles {
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crg { includeConfig "${params.custom_config_base}/conf/pipeline/proteinfold/crg.config" }
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}
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