Metadata-Version: 2.1
Name: BioPro
Version: 0.1.6
Summary: BioPro is a bioinformatics pipeline that predicts the functional targets of RNA-binding protein and the biological processes to which these functional targets contribute. 
Home-page: https://github.com/Crazy-Jack/SuperdopeBioinformatics
Author: Tianqin Li, Zeyuan Zuo, Jui-Chia Chung, Serena Abraham, Snigdha Agarwal
Author-email: jacklitianqin@gmail.com
License: UNKNOWN
Description: # Predicting Biochemical Pathways Involving Target RBP
        
        BioPro is a bioinformatics pipeline that processes and analyzes eCLIP data of RNA-binding proteins (RBP) to predict the functional targets of RBP and biological processes to which the functional targets of RBP contributes.
        
        BioPro pipeline cleans raw eCLIP data of a target RBP with Cutadapt and aligns the RNA sequence with STAR. Peak calling is then performed with PureCLIP. Then, based on the peaks, PRAS predicts the functional target genes of RBP and produces a ranked gene list. The pipeline then performs gene ontology (GO) analysis on the top 5% ranked genes to predict the biological processes. 
        
        
        ## Install
        
        ### Install via source code
        
        To install via source code, clone our github repo and run:
        
        ```
        git clone https://github.com/Crazy-Jack/SuperdopeBioinformatics
        bash install.sh
        ```
        
        
        ### Install via pip
        
        Or you can directly install our software from pip:
        
        `pip install BioPro`
        
        Our package can be found at: https://pypi.org/project/BioPro/
        
        
        ## Attribution
        
        This project is created as a course project for Bioinformatics. All memebers of our team contributed equally to the final product. Great thanks to Tianqin Li, Zeyuan Zuo, Jui-Chia Chung, Snigdha Agarwal and SerenaAbraham. 
        
        ## Maintainance
        
        Tianqin Li (jacklitianqin@gmail.com)
        
        Carnegie Mellon University
        
        Pittsburgh, PA, 15213, US.
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
