Skip to main content

Protein Feature Extraction package for Machine Learning

Project description

Build Status License: MIT codecov GitHub version GitHub issues


Protein Feature Extraction for Machine Learning


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

  import discere.discere as di

  di.extract_feature('./Documents/positive_training.fasta', 
                     './Documents/negative_training.fasta', 
                     './Documents')

output

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

discere-0.0.4.tar.gz (5.0 kB view details)

Uploaded Source

Built Distribution

discere-0.0.4-py3-none-any.whl (6.1 kB view details)

Uploaded Python 3

File details

Details for the file discere-0.0.4.tar.gz.

File metadata

  • Download URL: discere-0.0.4.tar.gz
  • Upload date:
  • Size: 5.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.6.8

File hashes

Hashes for discere-0.0.4.tar.gz
Algorithm Hash digest
SHA256 b0edbb317af081b70cc8cc6e21e99fc0bde10805a480a6fdbf58c5a164e62583
MD5 8f6ca9005848d29b9ce9a0ff656bd1bd
BLAKE2b-256 d0578e98f85230fdc06a81c49e11d1be8af775f430588a55ec08a0233a7acedc

See more details on using hashes here.

File details

Details for the file discere-0.0.4-py3-none-any.whl.

File metadata

  • Download URL: discere-0.0.4-py3-none-any.whl
  • Upload date:
  • Size: 6.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.6.8

File hashes

Hashes for discere-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 22d98db2bd33e117489ed0dff39243011360c871d871ba21de13f13314886b41
MD5 6a5c3b511051ece944287c51f1b3c067
BLAKE2b-256 eed490b5ec358a2925dee44f6fc9c3bb4069f0192907cd0d0f291637ce5d856b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page