Metadata-Version: 2.1
Name: phenospy
Version: 0.13
Summary: Tools for making and processing computable phenotype descriptions
Home-page: https://github.com/sergeitarasov/PhenoScript
Author: Sergei Tarasov
Author-email: sergei.tarasov@helsinki.fi
License: MIT
Project-URL: Project Logo, https://raw.githubusercontent.com/sergeitarasov/PhenoScript/main/Phenoscript_logo.png
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Description-Content-Type: text/markdown
License-File: LICENSE.txt

![PyPI - Downloads](https://img.shields.io/pypi/dm/phenospy?color=blue&label=PyPI%20Downloads)

# Phenospy (= Phenoscript Python tools)

 <p align="left">
  <img src="https://raw.githubusercontent.com/sergeitarasov/PhenoScript/main/phenospy.png" width="300" title="Phenospy logo">
  <img src="https://raw.githubusercontent.com/sergeitarasov/vscode-phenoscript/main/icon.png" width="300" title="Phenoscript logo">
</p> 


[Phenospy](https://pypi.org/project/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](https://github.com/sergeitarasov/vscode-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](https://marketplace.visualstudio.com/items?itemName=Tarasov-Lab.phenoscript) 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](https://github.com/sergeitarasov/vscode-phenoscript). 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).

## 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](https://stackoverflow.com/questions/3819449/how-to-uninstall-python-2-7-on-a-mac-os-x-10-6-4).


## Install
Phenospy can be installed directly from the [PyPI repository](https://pypi.org/project/phenospy/) by running the following command in your terminal (macOS) or a command prompt (Windows):

```{bash}
pip install phenospy
```

## Issues

-  Phenospy is dependent on [Owlready2](https://github.com/pwin/owlready2), which uses the sqlite library. The latest versions of sqlite library (e.g., 3.40.0) are known to be very slow. If Phenospy package is slow, for example, when you make your snippets, downgrade your sqlite library version. In my case, 3.39.0 worked fine.

## Quick start guide

Coming soon.

### Let's create snippets

Coming soon.

### Let's convert Phenoscript into OWL

Coming soon.
