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-0.230.tar.gz (38.9 kB view details)

Uploaded Source

Built Distribution

phenospy-0.230-py3-none-any.whl (47.0 kB view details)

Uploaded Python 3

File details

Details for the file phenospy-0.230.tar.gz.

File metadata

  • Download URL: phenospy-0.230.tar.gz
  • Upload date:
  • Size: 38.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.4

File hashes

Hashes for phenospy-0.230.tar.gz
Algorithm Hash digest
SHA256 5b51c7e0ba37cf2100cff4bd0586b4f2b8bd541ce05b5f74b7c99d182d2136e0
MD5 c9b8b6d5ec1f6a4093be206cd156f269
BLAKE2b-256 9383d985494c53bc980d7e2affdabce5332f6a9d57cc8de23934d5a4c36ce196

See more details on using hashes here.

File details

Details for the file phenospy-0.230-py3-none-any.whl.

File metadata

  • Download URL: phenospy-0.230-py3-none-any.whl
  • Upload date:
  • Size: 47.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.4

File hashes

Hashes for phenospy-0.230-py3-none-any.whl
Algorithm Hash digest
SHA256 df279d29278fbd09315e35c52776eba8321fecf9ce18d46c81b68de2c4d8fa96
MD5 0549d0f6d0545583e22df2de7c9a1e7b
BLAKE2b-256 f837d5730adb5e3b57cd8bca6d2a03178dab12200714dfc3d9c57eaabb436c9c

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