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adding adcra configuration
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conf/adcra.config
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conf/adcra.config
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/*
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* --------------------------------------------------------------
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* nf-core pipelines config file for AD project using CRA HPC
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* --------------------------------------------------------------
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*/
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params {
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config_profile_name = 'adcra'
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config_profile_description = 'CRA HPC profile provided by nf-core/configs'
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config_profile_contact = 'Kalayanee Chairat (@kalayaneech)'
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config_profile_url = 'https://bioinformatics.kmutt.ac.th/'
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}
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params {
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max_cpus = 16
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max_memory = 128.GB
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max_time = 120.h
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}
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// Specify the job scheduler
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executor {
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name = 'slurm'
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queueSize = 20
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submitRateLimit = '6/1min'
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}
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Singularity {
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enabled = true
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autoMounts = true
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}
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process {
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scratch = true
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queue = 'unlimit'
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queueStatInterval = '10 min'
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maxRetries = 3
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errorStrategy = { task.attempt <=3 ? 'retry' : 'finish' }
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cache = 'lenient'
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exitStatusReadTimeoutMillis = '2700000'
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}
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docs/adcra.md
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docs/adcra.md
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# nf-core/configs: CRA HPC Configuration
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nfcore pipeline sarek and rnaseq have been tested on the CRA HPC.
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## Before running the pipeline
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- You will need an account to use the CRA HPC cluster in order to run the pipeline.
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- Make sure that Singularity and Nextflow are installed.
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- Downlode pipeline singularity images to a HPC system using [nf-core tools](https://nf-co.re/tools/#downloading-pipelines-for-offline-use)
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```
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$ conda install nf-core
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$ nf-core download
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```
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- You will need to specify a Singularity cache directory in your ~./bashrc. This will store your container images in this cache directory without repeatedly downloading them every time you run a pipeline. Since space on home directory is limited, using lustre file system is recommended.
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```
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export NXF_SINGULARITY_CACHEDIR = "/lustre/fs0/storage/yourCRAAccount/cache_dir"
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```
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- Download iGenome reference to be used as a local copy.
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```
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$ aws s3 --no-sign-request --region eu-west-1 sync s3://ngi-igenomes/igenomes/Homo_sapiens/GATK/GRCh38/ /lustre/fs0/storage/yourCRAAccount/references/Homo_sapiens/GATK/GRCh38/
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```
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## Running the pipeline using the adcra config profile
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- Run the pipeline within a [screen](https://linuxize.com/post/how-to-use-linux-screen/) or [tmux](https://linuxize.com/post/getting-started-with-tmux/) session.
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- Specify the config profile with ```-profile adcra```.
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- Using lustre file systems to store results (```--outdir```) and intermediate files (```-work-dir```) is recommended.
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```
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nextflow run /path/to/nf-core/<pipeline-name> -profile adcra \
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--genome GRCh38 \
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--igenomes_base /path/to/genome_references/ \
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... # the rest of pipeline flags
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```
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@ -11,6 +11,7 @@
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//Please use a new line per include Config section to allow easier linting/parsing. Thank you.
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//Please use a new line per include Config section to allow easier linting/parsing. Thank you.
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profiles {
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profiles {
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abims { includeConfig "${params.custom_config_base}/conf/abims.config" }
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abims { includeConfig "${params.custom_config_base}/conf/abims.config" }
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adcra { includeConfig "${params.custom_config_base}/conf/adcra.config" }
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alice { includeConfig "${params.custom_config_base}/conf/alice.config" }
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alice { includeConfig "${params.custom_config_base}/conf/alice.config" }
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aws_tower { includeConfig "${params.custom_config_base}/conf/aws_tower.config" }
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aws_tower { includeConfig "${params.custom_config_base}/conf/aws_tower.config" }
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awsbatch { includeConfig "${params.custom_config_base}/conf/awsbatch.config" }
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awsbatch { includeConfig "${params.custom_config_base}/conf/awsbatch.config" }
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