Metadata-Version: 2.1
Name: enrich-omics
Version: 0.0.2
Summary: Package to perform enrichment analysis in python using EnrichR and OpenTargets APIs
Home-page: UNKNOWN
Author: Sara Masarone
License: UNKNOWN
Description: # enrich_omics
         [![Status](https://img.shields.io/badge/status-active-success.svg)]() 
         [![License](https://img.shields.io/badge/license-MIT-blue.svg)](/LICENSE)
        
        
        ## 📝 Table of Contents
        - [About](#about)
        - [Installation](#installation)
        - [Tutorial](#tutorial)
        - [Contributing](#contributing)
        - [Authors](#authors)
        - [Acknowledgments](#acknowledgement)
        
        
        ## About <a name = "about"></a>
        Python wrapper for EnrichR and OpenTargets API. Allows for visualisation of pathways enriched and disease associated to a given target or disease
        
        #### EnrichR
        - Choose from all EnrichR libraries (Transcription, Pathways, Drugs, etc). Default library is "KEGG_pathways_2021"
        - Get table with enrichment results
        - Get plot with enrichment results ans export it
        
        #### OpenTargets
        Open Target is currently only supporting the search of a single target
        
        #### Target endpoint
        - Convert Entrez to Ensemble if needed (OpenTargets API accepts only Ensemble IDs)
        - Get description of the function of the target
        - Get diseases associated to a certain target
        - Plot diseases associated to a certain target
        - Get table drugs associated to a certain target
        - Plot the drugs that work for a given target and the diseases associated to it
        - Plot the drugs associated to a given target and the trial phase they are currently in
        
        #### Plots
        - Export plots in SVG and PNG
        
        
        #### Drug endpoint
        - Get drug description
        - Get a table with drug information (year of approval, drug type, toxicity, warnings)
        
        
        ## Installation <a name = "installation"></a>
        ```python
        
        pip install enrich-omics
        
        ```
        
        ## Tutorial <a name="tutorial"></a>
         Tutorials coming soon
        
        ## Contributiong <a name = "contributing"></a> 
          
        ## Authors <a name = "authors"></a>
        - [@saramasarone](https://github.com/saramasarone) 
        
        ## 🎉 Acknowledgements <a name = "acknowledgement"></a>
        - Hat tip to anyone whose code was used
        - Inspiration
        - References
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
