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Statistical-Genetics
JASS_suite_pipeline
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b9a0711e
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b9a0711e
authored
Nov 16, 2021
by
Hanna JULIENNE
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updated readme
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@@ -27,6 +27,7 @@ Download and extract reference panel for LD-score in the pipeline folder:
Once done you can launch the pipeline as:
```
nextflow run jass_pipeline.nf --ref_panel {ABSOLUTE_PATH_TO_PIPELINE_FOLDER}/Ref_panel --gwas_folder {ABSOLUTE_PATH_TO_PIPELINE_FOLDER}/test_data/ -with-report jass_report.html
```
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@@ -51,3 +52,16 @@ The following Item are necessary to run JASS pipeline on real data
If you are working with a HPC server (Slurm job scheduler), you can adapt the nextflow_sbatch.config file and launch the pipeline with a command like:
sbatch --mem-per-cpu 32G -p common,dedicated,ggs --qos=long --wrap "module load java/13.0.2;module load singularity/3.8.3;module load graphviz/2.42.3;./nextflow run imputation_only.nf -with-report imput_report.html -with-timeline imput_timeline.html -c nextflow_sbatch.config -qs 300"
## Using docker container
Stable versions of JASS tools are available as docker container:
-
JASS preprocessing:
https://quay.io/repository/biocontainers/jass_preprocessing?tab=tags
-
JASS containers:
https://quay.io/repository/biocontainers/jass?tab=tags
-
RAISS containers:
https://quay.io/repository/biocontainers/raiss?tab=tags
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