$ git clone https://github.com/crickbabs/qualityControl_byBABS
$ cd qualityControl_byBABS
$ cd script/cpp
$ sh qc_directionality.sh compil
$ sh transcript_directionality.sh compil
$ cd -
You don't need to do anything. The pipeline is using a qc_pipeline conda environment available in our shared space : /camp/stp/babs/working/software/anaconda/envs. Just be sure that anaconda is properly configured.
$ readlink $HOME/.conda
/camp/stp/babs/working/$USER/.conda
$ readlink $HOME/.condarc
/camp/stp/babs/working/$USER/.condarc
$ cat /camp/stp/babs/working/$USER/.condarc
envs_dirs:
- /camp/stp/babs/working/software/anaconda/envs
pkgs_dirs:
- /camp/stp/babs/working/software/anaconda/pkgs
$ cat /camp/stp/babs/working/$USER/.conda/environments.txt
...
/camp/stp/babs/working/software/anaconda/envs/qc_pipeline
...
You need to create an anaconda environment and install multiqc, other packages, and the multiqc plugins inside this environment. Here is the procedure.
First, you need to load Anaconda:
$ module load Anaconda2/5.1.0
Then, you create a new environment named qc_pipeline:
$ conda create --yes --name qc_pipeline python=3.6
After that you can install somes packages that the pipeline requires:
$ conda install --yes --channel bioconda --name qc_pipeline multiqc=1.5
$ conda install --yes --channel anaconda --name qc_pipeline openblas=0.2.20
$ conda install --yes --channel bioconda --name qc_pipeline htseq=0.9.1
$ conda install --yes --channel anaconda --name qc_pipeline pandas=0.23.3
Install the multiqc plugins:
$ conda install --yes --name qc_pipeline multiqc/multiqc_plugins-1.0-py36_2.tar.bz2
Finally the variable ANACONDA_ENV needs to be changed in the main.nf file. This variable has to be set to the path of the anaconda environment you just created.
For example:
$ echo "directory: $(realpath fastq/paired_end/)" >> params.yml
$ module load nextflow/0.30.0
$ nextflow run -params-file params.yml main.nf -with-timeline