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Characterizing identification probability and precision in reference-free compound identification for metabolomics (IR: 33091)

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Installation

First, install conda environment. Mamba is preferred, but conda can be used as well (but will be slower).

conda env create -f environment.yml

Then, activate the environment:

conda activate idpp

Next, install pip dependencies:

pip install -r requirements.txt

Finally, manually install the following packages according to instructions in the home repos:

  • DeepCCS

Retip dependencies will need to be installed in accordance with the instructions on https://www.retip.app/. Note that RTools is not required on non-Windows systems.

The above installation can be completed using sbatch/hpc_setup.sbatch if installing on Deception.

GrAFF-MS

To install and use GrAFF-MS, use the associated environment spec.

conda env create -f envs/graff-ms.yml

You can also use sbatch/graff-ms_setup.sbatch to install the environment on Deception.

Then you will need to manually configure the path to the GrAFF-MS repository. (Note: The repository paths specified in config/config.yaml should be correct and can be used as-is on Deception.)

Extra Installation Notes

  • To install torch_scatter, first run module load gcc/<newest_version>
  • Note that environment specs exist for many of the tools in the workflow, but the only tool requiring the user to pre-install its corresponding environment is GrAFF-MS (also DeepCCS requires the package to be installed in the main environment idpp).

HPC Instructions

HPC instructions are identical to the above, with the following changes for R packages specifically:

  1. For R, make sure to load module load R/<newest version>
  2. Load gcc: module load gcc/<newest version>
  3. Load Java: module load java/1.8.0_31
  4. Run R on the command line and install packages using the R commands in the Retip instructions.
  5. Verify that /share/apps/R/<newest version>/bin is in your PATH variable with echo $PATH
    • If not, run export PATH=/share/apps/R/<newest version>/bin:$PATH

Running the Workflow

Workflow Configuration

Cluster Configuration

Disclaimer:

This material was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor the United States Department of Energy, nor Battelle, nor any of their employees, nor any jurisdiction or organization that has cooperated in the development of these materials, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness or any information, apparatus, product, software, or process disclosed, or represents that its use would not infringe privately owned rights.

Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof, or Battelle Memorial Institute. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.

             PACIFIC NORTHWEST NATIONAL LABORATORY
                          operated by
                            BATTELLE
                            for the
               UNITED STATES DEPARTMENT OF ENERGY
                under Contract DE-AC05-76RL01830

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Characterizing identification probability and precision in reference-free compound identification for metabolomics (IR: 33091)

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