Welcome to the Post-COVID Knowledge Graph (KG) repository! 🌟
The Post-COVID Knowledge Graph project aims to comprehensively map the molecular mechanisms, gene-disease associations, drug-target interactions, and omics data from patients, providing insights into post-COVID-19 syndrome and potential treatment options. Utilizing resources like the COVID-19 Disease Map,pyBiodataFuse python package and different drug repurposing algorithms, this project seeks to integrate information from various sources to achieve a thorough understanding of the disease and its potential treatments.
This repository hosts several parts related to the Post-COVID Knowledge Graph. Each part addresses different aspects of post-COVID-19 syndrome; KG construction, data exploration and visualization, and algorithm implementation. 📑📊💻
Description: In this project, we build the Post-COVID Knowledge Graph using transcriptomic data and the pyBiodataFuse python package to extract relevant associations between genes, drugs, diseases, gene ontologies, locations and pathways. 🧠🖥️
Description: Gene set enrichment analysis, over-representation analysis, PPI networks in Cytoscape.
Description: This part involves selecting different algorithms, visualising them, and comparing their functionality and results.
To get started with the Post-COVID KG project, follow these steps:
- Clone the repository:
git clone https://github.com/macsbio/post-covid-kg.git
This project is licensed under the MIT License.
For any inquiries or suggestions regarding the Post-COVID Knowledge Graph project, feel free to reach out to the project maintainer: