updated readme

README.md

@@ -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
 
 ```
@@ -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