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EBVkrsDesktop

EBVkrsDesktop is a graphical user interface (GUI) application designed for working with cattle data and calculating genetic value using BLUP and GBLUP methods. The application is built with PySide6 and QML 6.7, ensuring a modern and intuitive interface.

Features

  • Authentication: Secure login form for accessing the application.
  • Data Processing: Configuration and filtering of phenotypic data for analysis.
  • Estimate breeding value: Perform BLUP and GBLUP calculations to evaluate cattle breeding value.
  • Index estimate breeding value: Calculate breeding value using index-based methods.
  • Report Generation: Generate detailed reports with the results of estimate breeding value.

Screenshots

Login Form:

Main Page:

Data Processing Page:

SNP (Single Nucleotide Polymorphism) Page:

Estiamte breeding value Page:

Indexing estiamte breeding value Page:

Requirements

  • Python >= 3.10
  • PySide6
  • QML 6.7

Installation

  1. Clone the Repository:

    git clone https://github.com/IgorekLoschinin/EBVkrsDesktop.git
cd EBVkrsDesktop

  2. Create and Activate a Virtual Environment:

    python -m venv venv
source venv/bin/activate  # On Windows, use venv\Scripts\activate

  3. Install Dependencies:

    pip install -r requirements.txt

Build

To assemble the application into one executable file - .exe, you need to follow the instructions in the Installation section, then:

cd scripts
build.*    # for Windows use .cmd

Two folders will appear in the scripts folder: build and dist:

scripts\
    build\
    dict\
        KRSest.exe

Run the application with the following command:

Usage

  1. Run the Application:

     ./KRSest.exe

  2. Authentication: Enter your credentials on the login form to access the application.

  3. Data Processing: Navigate to the data processing page to upload and filter phenotypic data.

  4. Genetic Value Calculation: Use the relevant modules to perform BLUP and GBLUP calculations.

License

This project is licensed under the MIT License - see the LICENSE file for details.