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- org.*.eg.db/ (species-specific annotation database, as a local R package)
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### 6. Run the Workflow Using Docker
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### 6. Run the Workflow Using Docker or Singularity
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Rather than running the workflow in your local environment, you can use a Docker image. This method ensures that all dependencies are correctly installed.
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Rather than running the workflow in your local environment, you can use a Docker or Singularity container. This method ensures that all dependencies are correctly installed.
- No input files are required. Specify the target organism using a positional command line argument. `Mus musculus` is used in the example above. To see a list of all available organisms, run `Rscript GL-DPPD-7110-A_build-genome-annots-tab.R` without positional arguments. The correct argument for each organism can also be found in the 'species' column of the [GL-DPPD-7110-A_annotations.csv](../../Pipeline_GL-DPPD-7110_Versions/GL-DPPD-7110-A/GL-DPPD-7110-A_annotations.csv)
Copy file name to clipboardExpand all lines: GeneLab_Reference_Annotations/Workflow_Documentation/GL_RefAnnotTable-A/workflow_code/GL-DPPD-7110-A_build-genome-annots-tab.R
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# GeneLab script for generating organism-specific gene annotation tables
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# Example usage: Rscript GL-DPPD-7110-A_build-genome-annots-tab.R 'Mus musculus'
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# Set R library path to current working directory
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lib_path<- file.path(getwd())
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.libPaths(lib_path)
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# Define variables associated with current pipeline and annotation table versions
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