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LICENSE.txt

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MIT License
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Copyright (c) 2019 Jithin Mathew
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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README.md

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[![Build Status](https://travis-ci.org/jithin8mathew/Protein_feature_extraction.svg?branch=master)](https://travis-ci.org/jithin8mathew/Protein_feature_extraction)
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[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
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<br>
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# Protein Feature Extraction for Machine Learning
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Python code to extract features from Protein sequences for Machine Learning/Deep Learning
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-Biopython
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-subprocess
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## Installation
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For windows
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'''
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pip install discere
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'''
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For linux
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'''
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pip3 install discere
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'''
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## Usage
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'''
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from discere import discere
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'''
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Steps to run the code..
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1. Add fasta file containing positive sequences with the file name "positive_training.fasta" to the "data" folder
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2. Add fasta file containing negative sequences with the file name "negative_training.fasta" to the "data" folder

data\data.txt

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setup.py

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try:
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from setuptools import setup
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except ImportError:
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from distutils.core import setup
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import versioneer
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from setuptools import setup
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README_MD = ''
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with open('README.md') as f:
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INSTALL_REQUIRES = [
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'pandas', 'biopython'
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]
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# TEST_REQUIRES = [
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# # testing and coverage
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# 'pytest', 'coverage', 'pytest-cov',
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# # non-testing packagesrequired by tests, not by the package
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# 'scikit-learn', 'pdutil',
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# # to be able to run `python setup.py checkdocs`
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# 'collective.checkdocs', 'pygments',
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# ]
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setup(
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name='#############################',
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name='discere',
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description="Protein Feature Extraction package for Machine Learning",
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long_description=README_MD,
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author="Jithin Mathew",
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author_email="jithinjm1995@gmail.com",
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version=versioneer.get_version(),
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cmdclass=versioneer.get_cmdclass(),
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version='0.0.1',
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url='https://github.com/jithin8mathew/Protein-feature-extraction',
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license="MIT",
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packages=['#############################'],
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packages=['discere'],
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install_requires=INSTALL_REQUIRES,
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# extras_require={
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# 'sklearn': ['scikit-learn', 'skutil'],
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# 'nltk': ['nltk'],
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# 'test': TEST_REQUIRES
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# },
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setup_requires=INSTALL_REQUIRES,
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platforms=['any'],
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keywords='feature extraction protein sequence bioinformatics machine learning deep learning',
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'Programming Language :: Python :: 3.5',
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'Programming Language :: Python :: 3.6',
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'Programming Language :: Python :: 3.7',
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'Programming Language :: Python :: 3.8',
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'Topic :: Software Development :: Libraries',
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'Topic :: Software Development :: Libraries :: Python Modules',
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'Intended Audience :: Developers',
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'Operating System :: OS Independent',
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],
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)

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