Metadata-Version: 2.1
Name: discere
Version: 0.0.4
Summary: Protein Feature Extraction package for Machine Learning
Home-page: https://github.com/jithin8mathew/Protein-feature-extraction
Author: Jithin Mathew
Author-email: jithinjm1995@gmail.com
License: MIT
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        <br>
        
        # Protein Feature Extraction for Machine Learning
        <br>
        
        Python code to extract features from Protein sequences for Machine Learning/Deep Learning
        
        Protein feature extraction is carried out using Biopython package
        
        **Features inculde:
        1. AA-count
        2. aromaticity
        3. secondary_structure_fraction
        4. isoelectric_point
        5. molecular_weight
        6. instability_index
        
        Packages required (other than built-in) for the execution of code...
        -Pandas
        -pickle
        -Biopython
        -subprocess
        
        ## Installation
        For windows
        ```
        pip install discere
        ```
        For linux
        ```
        pip3 install discere
        ```
        
        ## Usage
        
        ```python
          import discere.discere as di
          
          di.extract_feature('./Documents/positive_training.fasta', 
                             './Documents/negative_training.fasta', 
                             './Documents')
        ```
        
        ## output
        
Keywords: feature extraction protein sequence bioinformatics machine learning deep learning
Platform: any
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
