Skip to main content

Python program, based on ProDy, for pathogenicity prediction of human missense variants.

Project description

Build Status PyPI PyPI - Downloads Documentation Status

Rhapsody

Python program, based on ProDy, for pathogenicity prediction of human missense variants.

Install latest published version using pip

Rhapsody is published on PyPI. To install Rhapsody, please use pip in the terminal:

$ pip install -U prody-rhapsody

It might be necessary to manually install the DSSP program, for instance by typing on Linux:

$ sudo apt install dssp

Install from source

Rhapsody is written in pure Python so no local compilation is needed.

To install all needed dependencies, we strongly suggest to use Conda and create a new environment with:

$ conda create -n rhapsody python=3 numpy scikit-learn requests pyparsing matplotlib biopython
$ conda activate rhapsody
$ pip install prody
$ conda install -c salilab dssp

After cloning/forking the Rhapsody repository, you can permanently add the repository path to the conda environment with:

$ conda develop path/to/local/repository

If not using Conda, you can manually install all dependencies and then add the repository location to the PYTHONPATH environmental variable. For example, on Linux simply add the following line to your ~/.bashrc:

export PYTHONPATH="path/to/local/repository/:$PYTHONPATH"

If you are running on Windows, please follow this tutorial.

Running initial setup

After installation, please run:

import rhapsody as rd
rd.initialSetup()

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

prody-rhapsody-0.9.8.tar.gz (2.2 MB view details)

Uploaded Source

Built Distribution

prody_rhapsody-0.9.8-py3-none-any.whl (2.3 MB view details)

Uploaded Python 3

File details

Details for the file prody-rhapsody-0.9.8.tar.gz.

File metadata

  • Download URL: prody-rhapsody-0.9.8.tar.gz
  • Upload date:
  • Size: 2.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4

File hashes

Hashes for prody-rhapsody-0.9.8.tar.gz
Algorithm Hash digest
SHA256 97c8175c341d4f28e593874411e2045bd98560b20608ba16d694dca226dd985b
MD5 a1480fc78c8be59dbfb53d57fa03bf05
BLAKE2b-256 c94baa8c8eec71eace5bcbe6ddef5aafbfb5be6213e89ad6a8fd472b4f78b13e

See more details on using hashes here.

File details

Details for the file prody_rhapsody-0.9.8-py3-none-any.whl.

File metadata

  • Download URL: prody_rhapsody-0.9.8-py3-none-any.whl
  • Upload date:
  • Size: 2.3 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4

File hashes

Hashes for prody_rhapsody-0.9.8-py3-none-any.whl
Algorithm Hash digest
SHA256 3c7926fc0a48cc6bf4282a628ada22d05b10676a4616c32dc6ee652b26249c04
MD5 c9a6fd4eb96649ef39447c028e7b8fd9
BLAKE2b-256 8d193b878d77b8c572d06c3e292a63b5179c5fa995cada8d0907d6702823c393

See more details on using hashes here.

Supported by

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