Skip to main content

Tools for making and processing computable phenotypes

Project description

PyPI - Downloads

Phenospy (= Phenoscript Python tools)

Phenospy is a Python package that facilitates the automatic analysis and comparison of ontology-based (= semantic) descriptions of species and phenotypes. Phenospy works with descriptions written in Phenoscript, a computer language designed for describing species (support for other semantic approaches is under development).

The Phenoscript language allows rapid coding of morphological and ecological traits using an individual-based approach (ontology's A-box). You can efficiently code Phenoscript by using the VS Code Phenoscript extension that provides syntax highlighting and snippet support. It can be installed from the Marketplace from within the VS Code. Its GitHub repository can be accessed here. Afterward, Phenospy can be used to analyze and process the semantic descriptions.

What can I do with Phenospy?

  • Create snippets based on selected ontologies for writing semantic phenotypes with the VS Code Phenoscript extension.
  • Convert the Phenoscript description into an OWL file.
  • Convert the Phenoscript description into an annotated Natural Language description (Markdown format).
  • Automatically compare species and phenotypes (under development).

Documentation

See Wiki for details.

Requirements

  • Python >=3.0

If you are a new user with Python 2 installed, you should uninstall it and install Python 3 instead. For more information, please refer to this discussion.

Install

Phenospy can be installed directly from the PyPI repository by running the following command in your terminal (macOS) or a command prompt (Windows):

pip install phenospy

Issues

See issues for details.

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

phenospy-0.210.tar.gz (38.0 kB view details)

Uploaded Source

Built Distribution

phenospy-0.210-py3-none-any.whl (45.8 kB view details)

Uploaded Python 3

File details

Details for the file phenospy-0.210.tar.gz.

File metadata

  • Download URL: phenospy-0.210.tar.gz
  • Upload date:
  • Size: 38.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.4

File hashes

Hashes for phenospy-0.210.tar.gz
Algorithm Hash digest
SHA256 25a7798035f4da541bd4acc7fec34c6b9578b6ebf2fc79f468ea5bba2d03dbf0
MD5 0002c0e7e85139e75622630e6e5ecfee
BLAKE2b-256 74c9fb3fba9c90e36a2ff870cc5765f05348926f02e6e92146e848fbc46bd856

See more details on using hashes here.

File details

Details for the file phenospy-0.210-py3-none-any.whl.

File metadata

  • Download URL: phenospy-0.210-py3-none-any.whl
  • Upload date:
  • Size: 45.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.4

File hashes

Hashes for phenospy-0.210-py3-none-any.whl
Algorithm Hash digest
SHA256 1decdf13a449eb0b8153b574be1e7407bce4c2c511dd2357f62d8bd5d91e6f38
MD5 41e7b5e2f297c84f25bb957cf673e845
BLAKE2b-256 6e2ea5a228b2f9efc804dc6febe45a56626c34ee2345c7459b3274bb8935f5eb

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