@@ -13,7 +13,44 @@ GMSC-mapper can be used to
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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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+
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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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+
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+ Create conda environment(only support python v3.8/v3.9)
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+
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+ ``` bash
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+ conda create -n gmscmapper python=3.8
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+ conda activate gmscmapper
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+ or
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+ conda create -n gmscmapper python=3.9
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+ conda activate gmscmapper
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+ ```
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+
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+ You will need 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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+
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+ The easiest way to install the dependencies is with [ conda] ( https://conda.io ) :
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+
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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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+ ```
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+
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+ Once the dependencies are installed, you can install GMSC-mapper by running:
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+
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+ ``` bash
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+ cd GMSC-mapper
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+ python setup.py install
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+ ```
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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
@@ -22,7 +59,7 @@ cd GMSC-mapper
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./install.sh
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```
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- It should create a conda environment (python vv3 .9) called ** gmscmapper**
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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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@@ -263,4 +300,4 @@ Subcommands: `gmsc-mapper createdb`
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* ` --quiet ` : Disable alignment console output. (default: False )
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## Sensitivity choices considering time and memory usage
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- To be done
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+ To be done
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