.. _`tpm-immunedeconv (✓ production)`: TPM-IMMUNEDECONV (✓ PRODUCTION) =============================== Version: 11-07-2019 Tags: RNA-Seq / TPM / Deconvolution / immunedeconv Immunedeconv is based on many methods: EPIC, Cibersort, Cibersort.ABS, quantiseq, XCell, and MCP-Counter. Choose which tool to run in the configuration files. You may find more information at * https://github.com/icbi-lab/immunedeconv/blob/master/README.md * https://github.com/tdayris/tpm-immunedecov .. role:: bash(code) :language: bash Pipeline dependencies --------------------- This pipeline requires the following packages to be run. Any other additional requirements are being installed dynamically. Conda: * conda-forge::python=3.8.2 * conda-forge::pytest=5.4.1 * conda-forge::datrie=0.8.2 * conda-forge::git=2.26.0 * conda-forge::jinja2=2.11.1 * conda-forge::pygraphviz=1.5 * conda-forge::flask=1.1.1 * conda-forge::pandas=1.0.3 * conda-forge::zlib=1.2.11 * conda-forge::openssl=1.1.1e * conda-forge::networkx=2.4 * bioconda::snakemake=5.16.0 Additionally, the following prerequisites are non-optional: * Conda * Genome sequence and annotation Input files ----------- Please find below the list of required input files: * TSV-formatted **TPM** counts matrix Output files ------------ Please find below the list of expected output files: * TSV formatted deconvolution results estimation * PNG images representing the population * Complete quantification report embedding material and methods Notes ----- This pipeline takes the cold storage into account. No need to copy your data in advance. In order to install, use "conda" to install required environment, and "git" to clone the git repository. Installation ------------ While installing the workflow, you may run the following commands (order matters): .. list-table:: :widths: 10 80 :header-rows: 1 :align: left * - Case - Command line * - git - .. code-block:: bash # This command clones the github repository if [ ! -d "${TPM_IMMUNEDECONV_DIR:?}" ]; then git clone https://github.com/tdayris/tpm-immunedeconv.git "${TPM_IMMUNEDECONV_DIR:?}"; fi * - conda - .. code-block:: bash # This command creates the conda virtual environment. It requires an # access to the git repository (see above). conda env create --force --file "${STRONGR_DIR:?}/workflows/genomic-expression/tpm-immunedeconv/environment.yaml" Testing ------- In order to test the pipeline, you may try the following commands: .. list-table:: :widths: 10 80 :header-rows: 1 :align: left * - Case - Command line * - quick-test - .. code-block:: bash cd "${TPM_IMMUNEDECONV_DIR:?}" make conda tests make all-unit-tests make test-conda-report.html make clean Preparation ----------- In order to prepare a run, you may try the following commands: .. list-table:: :widths: 10 80 :header-rows: 1 :align: left * - Case - Command line * - activate - .. code-block:: bash # This command activates the conda environment available after the # installation process. conda activate tpm-immunedeconv || source activate tpm-immunedeconv * - gustaveroussy-references - .. code-block:: bash # This points mount point configurations for Gustave Roussy's flamingo COLD_STORAGE=(/mnt/isilon /mnt/archivage) Execution --------- In order to execute the pipeline, you may run the following commands: .. list-table:: :widths: 10 80 :header-rows: 1 :align: left * - Case - Command line(s) * - local - .. code-block:: bash source activate tpm-immunedeconv || conda activate tpm-immunedeconv snakemake -s "${TPM_IMMUNEDECONV_DIR:?}/Snakefile" -r -p --configfile config.yaml -j 4 --use-conda * - torque - .. code-block:: bash # While reserving optimal threads and memory requirements, # the choice of the queue might not be optimal. # See profiles below. source activate tpm-immunedeconv || conda activate tpm-immunedeconv snakemake -s "${TPM_IMMUNEDECONV_DIR:?}/Snakefile" -r -p --configfile config.yaml -j 100 --cluster "qsub -V -d ${TPM_IMMUNEDECONV_WORKDIR:?} -j oe -l nodes=1:ppn={threads},mem={resources.mem_mb}mb,walltime={resources.time_min}:00" --use-conda * - slurm - .. code-block:: bash # While reserving optimal threads and memory requirements, # the choice of the queue might not be optimal. # See profiles below. source activate tpm-immunedeconv || conda activate tpm-immunedeconv snakemake -s "${TPM_IMMUNEDECONV_DIR:?}/Snakefile" -r -p --configfile config.yaml -j 100 --cluster "sbatch --mem={resources.mem_mb} --time={resources.time_min} --cpus-per-task={threads}" --use-conda * - profile - .. code-block:: bash {'\# Requires slurm profile installation, see': None} source activate tpm-immunedeconv || conda activate tpm-immunedeconv snakemake -s "${TPM_IMMUNEDECONV_DIR:?}/Snakefile" --configfile config.yaml --profile slurm * - report - .. code-block:: bash snakemake -s "${TPM_IMMUNEDECONV_DIR:?}/Snakefile" --configfile config.yaml --report