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@@ -3,7 +3,6 @@ A Snakemake workflow for phylogeographic analysis.
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aPhyloGeo is a user-friendly, scalable, reproducible, and comprehensive workflow that can explore the correlation between specific genes (or gene segments) and environmental factors.
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## Dependencies
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- [Python](https://www.python.org/)
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- [raxml-ng](https://github.com/amkozlov/raxml-ng)
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- [fasttree](http://www.microbesonline.org/fasttree/)
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The software dependencies can be found in the conda environment files: [[1]](https://github.com/tahiri-lab/aPhyloGeo-pipeline/tree/main/workflow/envs),[[2]](https://github.com/tahiri-lab/aPhyloGeo-pipeline/blob/main/environment.yaml)
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The software dependencies can be found in the conda environment files: [[1]](https://github.com/tahiri-lab/aPhyloGeo-pipeline/tree/main/workflow/envs) and [[2]](https://github.com/tahiri-lab/aPhyloGeo-pipeline/blob/main/environment.yaml).
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## Usage
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git clone https://github.com/tahiri-lab/aPhyloGeo-pipeline.git
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cd aPhyloGeo-pipeline
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**2. Install dependencies.** <br><br>
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**2.1 If you do not have Conda installed, then use the following method to install it. If you already have Conda installed, then refer directly to the next step (2.2).**
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# update Conda
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conda update -y conda
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**2.2 Create a conda environment named aaa and install all the dependencies in that environment.** <br>
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<br>
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**2.2 Create a conda environment named aaa and install all the dependencies in that environment.**<br>
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# create a new environment with dependencies
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conda env create -n aPhyloGeo -f environment.yaml
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**2.3 Activate the environment** <br>
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conda activate aPhyloGeo
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# force snakemake to run the job. By default, if snakemake thinks the pipeline doesn’t need updating, snakemake will not run
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snakemake -F
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