MacSyLib Quick Start

1. We recommend to install MacSylib using pip in a virtual environment (for further details see Installation).

   python3 -m venv MacSyLib
   cd MacSyLib
   source bin/activate
   pip install macsylib
   

   Warning

   hmmsearch from the HMMER package (http://hmmer.org/) must be installed.

2. Prepare your data. You need a file containing all protein sequences of your genome of interest in a FASTA file (for further details see Input dataset). In the best case scenario, they would be ordered as the corresponding genes are ordered along the replicons.

3. You need to install, or make available to MacSyLib the models to search in your input genome data. Please refer to Macromolecular models to create your own package of models. Otherwise, macsy-models contributed by the community are available here: https://github.com/macsy-models and can be retrieved and installed using the msl_data command, installed as part of the MacSylib suite.

4. Install the macsy-models of interest from the Macsy Models repository:

   msl_data available

   msl_data install some-public-models

5. Use MacSylib How to use MacSyLib ?