Metadata-Version: 2.1
Name: deepcon
Version: 0.2.3
Summary: Protein Contact Prediction using Dilated Convolutional Neural Networks with Dropout
Home-page: https://github.com/ba-lab/deepcon-package
Author: Badri Adhikari
Author-email: adhikarib@umsl.edu
License: UNKNOWN
Description: # deepcon-package
        Python package for the DEEPCON contact prediction tool at https://github.com/ba-lab/DEEPCON
        
        #### Contact:
        Email: adhikarib@umsl.edu  
        Homepage: https://badriadhikari.github.io/  
        Paper: https://www.biorxiv.org/content/10.1101/590455v1 
        
        ### DEEPCON using Covariance features as input
        
        Trained and validated using the 3456 proteins in the DeepCov dataset with the covariance features (441 channels) as input.
        
        
        #### Installation Instructions:
        
        Install DEEPCON-Covariance package
        	
            pip3 install deepcon
        
        
        #### Intstructions for User:
        
        Inside Python:
        
        	>>>import deepcon
        	>>>from deepcon import deepconcovariance
        	
        
        #### Predict
        ```bash
        >>>deepconcovariance.main("input.aln","output.rr")
        ```
        
        #### Package Made Public By:
        Chase Richards
        
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
