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@@ -60,7 +60,7 @@ installed.
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```bash
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nextflow run dessimozlab/FastOMA -profile docker --input /path/to/in_folder --output_folder /path/to/out_folder
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```
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You could also add specific version to be used by adding `-r v0.4.0` to the command line. Without any `-r` argument,
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You could also add specific version to be used by adding `-r v0.5.0` to the command line. Without any `-r` argument,
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always the latest available release will be used. With `-r dev` the latest development release can be used.
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> [!WARNING]
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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 dessimozlab/FastOMA -r v0.4.0 -profile conda
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nextflow run dessimozlab/FastOMA -r v0.5.0 -profile conda
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```
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This will fetch version v0.4.0 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 v0.5.0 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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### 2. Cloning the FastOMA repo and running from there
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@@ -195,7 +195,7 @@ nextflow run FastOMA.nf -profile docker \
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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 "0.4.0"` to use the container with version `dessimozlab/fastoma:0.4.0` from dockerhub. Check the latest version on the [DockerHub](https://hub.docker.com/r/dessimozlab/fastoma/tags).
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`--container_version "0.5.0"` to use the container with version `dessimozlab/fastoma:0.5.0` from dockerhub. Check the latest version on the [DockerHub](https://hub.docker.com/r/dessimozlab/fastoma/tags).
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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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## Change log
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- Update v0.5dev (not released yet):
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- Update v0.5.0:
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- renamed input_folder parameter to input. input accepts now also (remote) archive tarball files.
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