This module contains classes and functions that allow you to deploy the GUI software VEnCodeApp in your machine. VEnCodeApp allows you to perform intersectional genetics-related operations to find VEnCodes as in Macedo and Gontijo, GigaScience 2020, DOI:10.1093/gigascience/giaa083

These instructions are designed to:

• Get you a copy of the project up and running on your local machine for development and testing purposes;
• Build the VEnCodeApp software in your machine.

To effectively use this module you will need Python3 with the wxPython and VEnCode external libraries installed in your machine. Check the requirements file for a more complete list of packages.

1. Make sure you have the prerequisites;
2. Fork this project;

You can use the GUI app by running main.py.

If you want to create a executable file/program, you can create a local setup.py and use PyInstaller or other related tool. Alternatively, install the package auto-py-to-exe and follow the package instructions.

Please read CONTRIBUTING.rst for details on our code of conduct, and the process for submitting pull requests to us.

We use SemVer for versioning. For the versions available, see the tags on github

• Andre Macedo
• Alisson M. Gontijo

See also the list of contributors who participated in this project.

Refer to file LICENSE.

• Integrative Biomedicine Laboratory @ CEDOC, NMS, Lisbon (supported by FCT: UID/Multi/04462/2019; PTDC/MED-NEU/30753/2017; and PTDC/BIA-BID/31071/2017 and FAPESP: 2016/09659-3)
• CEDOC: Chronic Diseases Research Center, Nova Medical School, Lisbon