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README.md

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## Installation
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### Source
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#### Installation path 1
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Clone GMSC-mapper repository
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```bash
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git clone https://github.com/BigDataBiology/GMSC-mapper.git
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```
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Create conda environment(only support python v3.8-10)
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Create conda environment(only support python v3.8-9)
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```bash
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conda create -n gmscmapper python=3.8
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```bash
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conda install -c conda-forge -c bioconda mmseqs2
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conda install -c bioconda -c conda-forge diamond
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conda install -c bioconda -c conda-forge diamond=2.0.13
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```
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Once the dependencies are installed, you can install GMSC-mapper by running:
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python setup.py install
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```
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#### Installation path 2
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Clone GMSC-mapper repository and execute our installation script.
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```bash
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git clone https://github.com/BigDataBiology/GMSC-mapper.git
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cd GMSC-mapper
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./install.sh
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```
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It should create a conda environment (python v3.9) called **gmscmapper**
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inserted in the folder `envs/` located in the GMSC-mapper main location.
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To call this environment:
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```bash
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conda activate /path/to/GMSC-mapper/envs/gmscmapper
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```
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During the process, we install also the following dependencies:
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- [MMseqs2](https://github.com/soedinglab/MMseqs2)
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- [Diamond](https://github.com/bbuchfink/diamond)
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### Example test
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Because the whole GMSC database is large, and takes some minutes to process.
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