Skip to main content

A package for interactive all-in-one graphical validation of 3D protein model iterations

Project description

Iris-Validation

A Python package for interactive all-in-one graphical validation of 3D protein model iterations.

metrics

Calculates comprehensive per-residue metrics from a model (and reflections) file.

interface

Generates the HTML validation report.

utils

A number of functions that are utilised extensively within the library and are also useful on their own.

Iris-Tools

Companion scripts for the main module that include tests, timings, and the scripts used to generate data for the metrics module.

Installation

The package can now be installed via pip, with the command pip install iris-validation. For now, the best way to install and run Iris is to use the Python environment that comes with CCP4, by running ccp4-python -m pip install iris-validation You may first need to install pip, by downloading the install script from https://bootstrap.pypa.io/get-pip.py and running ccp4-python get-pip.py This is because Clipper-Python, upon which Iris depends, is currently available in a number of different forms, most of which are broken in some way or another. As a consequece, only the Python 2 version of Iris is available. This will be remedied soon.

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

iris-validation-0.0.0.tar.gz (81.7 kB view hashes)

Uploaded Source

Built Distribution

iris_validation-0.0.0-py2-none-any.whl (303.1 kB view hashes)

Uploaded Python 2

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