The following sections describe how to install tRNAnalysis.
We have been experiencing issues with installation because of channel priorities. Bioconda recommend that the channel priority for conda be set by running the following in the terminal:
conda config --add channels defaults conda config --add channels bioconda conda config --add channels conda-forge
tRNAnalysis is currently installed using the bioconda channel and the recipe can be found on `github`_.
To install tRNAnalysis:
conda create -n trnanalysis conda activate trnanalysis conda install -c bioconda trnanalysis
We recommend installation through conda because it manages the dependencies. However, tRNAnalysis can also be installed easily using the pip package manager. However, you will also have to install other dependencies manually:
pip install trnanalysis
To obtain the latest code, check it out from the public git repository and activate it:
git clone https://github.com/Acribbs/tRNAnalysis.git cd tRNAnalysis python setup.py install
Once checked-out, you can get the latest changes via pulling:
git pull origin master
Installing additional software¶
When building your own workflows we recommend using conda to install software into your environment where possible.
This can easily be performed by:
conda search <package> conda install <package>