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@@ -53,9 +53,9 @@ any installation steps given the system supports running either docker container
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installed.
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```bash
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nextflow run dessimozlab/FastOMA -profile docker --input_folder /path/to/in_folder --output_folder /path/to/out_folder
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nextflow run dessimozlab/FastOMA -profile docker --input_folder /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 v0.3.1` to the command line.
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Nextflow will automatically fetch the [dessimozlab/FastOMA](https://github.com/dessimozlab/FastOMA) repository and starts
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the `FastOMA.nf` workflow. The `-profile` argument must be used to specify the profile to use. We support `docker`,
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`singularity` and `conda` which then automatically set up the necessary tools by downloading the required containers or creating
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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 0.3.1 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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This will fetch version v0.3.1 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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@@ -140,7 +140,7 @@ 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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Note that it is not encouraged to have both Mamba and conda on one system, [more info](https://stackoverflow.com/questions/76760906/installing-mamba-on-a-machine-with-conda).
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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 "0.3.1"` to use the container with version `dessimozlab/fastoma:0.3.1` from dockerhub.
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`--container_version "0.3.1"` to use the container with version `dessimozlab/fastoma:0.3.1` 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 v0.3.1: spliting HOG and sampling
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- Update v0.1.6: adding dynamic resources, additional and improved output
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- Update v0.1.5: docker, add help, clean nextflow
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- Update v0.1.4: new gene families with linclust if mmseqs is installed, using quoted protein name to handle species chars, check input first
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