semvec/pypi-packages huggingface dataset:
psite-annotation 0.7.2
Module for annotating p-sites based on resources such as PhosphoSitePlus
License: Apache-2.0
Requires Python: <3.13,>=3.9

# Psite annotation

[![PyPI version](https://img.shields.io/pypi/v/psite-annotation.svg?logo=pypi&logoColor=FFE873)](https://pypi.org/project/psite-annotation/)
[![Supported Python versions](https://img.shields.io/pypi/pyversions/psite-annotation.svg?logo=python&logoColor=FFE873)](https://pypi.org/project/psite-annotation/)
[![PyPI downloads](https://img.shields.io/pypi/dm/psite-annotation.svg)](https://pypistats.org/packages/psite-annotation)
[![Build](https://github.com/kusterlab/psite_annotation/workflows/Publish%20release/badge.svg)](https://github.com/kusterlab/psite_annotation/actions?workflow=release)
[![Tests](https://github.com/kusterlab/psite_annotation/workflows/Unit%20tests/badge.svg)](https://github.com/kusterlab/psite_annotation/actions?workflow=tests)
[![Codecov](https://codecov.io/gh/kusterlab/psite_annotation/branch/main/graph/badge.svg)](https://codecov.io/gh/kusterlab/psite_annotation)

Python module for annotating a pandas dataframe with phosphosites, e.g. PhosphoSitePlus annotations, kinase-substrate relations, domain information, etc.

## Documentation

The official Psite annotation documentation can be found at https://psite-annotation.readthedocs.io.

The documentation includes installation instructions, basic usage principles, examples and the API documentation.