https://github.com/kosasih/medaxis-core

The central repository for MedAxis, housing the core algorithms, models, and data pipelines for advanced genomics, proteomics, and epigenomics research.
https://github.com/kosasih/medaxis-core

Last synced: about 1 year ago
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The central repository for MedAxis, housing the core algorithms, models, and data pipelines for advanced genomics, proteomics, and epigenomics research.

• Host: GitHub
• URL: https://github.com/kosasih/medaxis-core
• Owner: KOSASIH
• License: mit
• Created: 2024-10-06T01:14:59.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-11-19T19:36:45.000Z (over 1 year ago)
• Last Synced: 2025-03-29T22:51:13.345Z (about 1 year ago)
• Language: Python
• Size: 214 KB
• Stars: 20
• Watchers: 1
• Forks: 0
• Open Issues: 10
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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MedAxis by KOSASIH is licensed under Creative Commons Attribution 4.0 International


# medaxis-core

The central repository for MedAxis, housing the core algorithms, models, and data pipelines for advanced genomics, proteomics, and epigenomics research.

# MedAxis Core

================

The central repository for MedAxis, housing the core algorithms, models, and data pipelines for advanced genomics, proteomics, and epigenomics research.

## Overview

--------

MedAxis Core is an open-source repository that provides a comprehensive suite of algorithms, models, and data pipelines for advanced genomics, proteomics, and epigenomics research. The repository is designed to facilitate the development of novel analytical tools and methods for the analysis of large-scale biological data.

## Features

--------

* **Genomics Pipelines**: A comprehensive suite of pipelines for genomics data analysis, including data preprocessing, alignment, variant calling, and downstream analysis.

* **Proteomics Pipelines**: A comprehensive suite of pipelines for proteomics data analysis, including data preprocessing, peptide identification, and protein quantification.

* **Epigenomics Pipelines**: A comprehensive suite of pipelines for epigenomics data analysis, including data preprocessing, peak calling, and downstream analysis.

* **Machine Learning Models**: A collection of machine learning models for the analysis of genomics, proteomics, and epigenomics data, including models for classification, regression, and clustering.

* **Data Visualization Tools**: A suite of data visualization tools for the visualization of genomics, proteomics, and epigenomics data, including tools for heatmap generation, scatter plot generation, and genome browser visualization.

## Getting Started

---------------

To get started with MedAxis Core, follow these steps:

1. Clone the repository: `git clone https://github.com/KOSASIH/medaxis-core.git`

2. Install the dependencies: `pip install -r requirements.txt`

3. Explore the repository: `cd medaxis-core`

## Contributing

------------

We welcome contributions to MedAxis Core! If you're interested in contributing, please follow these steps:

1. Fork the repository: `git fork https://github.com/KOSASIH/medaxis-core.git`

2. Create a new branch: `git branch my-feature`

3. Make your changes: `git add .`

4. Commit your changes: `git commit -m "My feature"`

5. Push your changes: `git push origin my-feature`

6. Submit a pull request: `git pull-request`

## License

-------

MedAxis Core is released under the MIT License.

## Acknowledgments

--------------

We would like to acknowledge the following individuals and organizations for their contributions to MedAxis Core:

* All contributors

* All organizations contributors