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@@ -88,10 +88,10 @@ There are four ways to run/install FastOMA detailed below:
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The FastOMA workflow can be run directly without any installation using nextflow's ability to fetch a workflow from github. A specific version can be selected by specifying the `-r` option to nextflow to select a specific version of FastOMA:
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```bash
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nextflow run desimozlab/FastOMA -r 0.2.0 -profile conda
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nextflow run desimozlab/FastOMA -r v0.3.1 -profile conda
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```
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This will fetch version 0.2.0 from github and run the FastOMA workflow using the conda profile. See section [How to run fastOMA](#how-to-run-fastoma).
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This will fetch version 0.3.1 from github and run the FastOMA workflow using the conda profile. See section [How to run fastOMA](#how-to-run-fastoma).
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### 2. Cloning the FastOMA repo and running from there
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@@ -139,7 +139,7 @@ bashMiniconda3.sh
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Then follow the instruction on the terminal. Finally, close and re-open the terminal and run
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--output_folder myresult/
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```
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This will use the container that is tagged with the current commit id. Similarly, one could also use
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`--container_version "0.2.0"` to use the container with version `dessimozlab/fastoma:0.2.0` from dockerhub.
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`--container_version "0.3.1"` to use the container with version `dessimozlab/fastoma:0.3.1` from dockerhub.
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### Singularity
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Since Docker needs administrator privileges (root access), [Singluarity](https://apptainer.org/index.html) (a.k.a Apptainer) is a good alternative. This can be installed using [Conda](https://anaconda.org/conda-forge/singularity) with `conda install conda-forge::singularity`. However, in most of the academic HPC cluster, singluarity is already installed and can be called with `module load`.
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