semvec/pypi-packages huggingface dataset:
pgscatalog.core 1.0.2
Core tools for working with polygenic scores (PGS) and the PGS Catalog
Requires Python: >=3.10

# `pgscatalog.core`

[![Run pytest on pgscatalog.core](https://github.com/PGScatalog/pygscatalog/actions/workflows/core-pytest.yml/badge.svg)](https://github.com/PGScatalog/pygscatalog/actions/workflows/core-pytest.yml)
[![Documentation Status](https://readthedocs.org/projects/pygscatalog/badge/?version=latest)](https://pygscatalog.readthedocs.io/en/latest/autoapi/pgscatalog/core/index.html)

This Python package contains:

* CLI applications to download scoring files from the PGS Catalog and normalise them into a consistent structure
* core library classes and functions for working with PGS data

| Application           | Description                                                            | Link                                                                               |
|-----------------------|------------------------------------------------------------------------|------------------------------------------------------------------------------------|
| `pgscatalog-download` | Download scoring files from the PGS Catalog in specific genome builds  | [README](https://pygscatalog.readthedocs.io/en/latest/how-to/guides/download.html) |
| `pgscatalog-combine`  | Combine multiple scoring files into a consistent structure             | [README](https://pygscatalog.readthedocs.io/en/latest/how-to/guides/combine.html)  |
| `pgscatalog-relabel`  | Relabel values in a column based on values in a column in another file | [README](README.md)                                                |

If you want to write Python code to work with PGS data, the library may be helpful for you.

If you want to do automatic PGS calculation check out the [PGS Catalog Calculator](https://github.com/PGScatalog/pgsc_calc), which uses these tools internally.

## Installation 

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/pgscatalog.core/README.html)

or [install via `pip`](https://pypi.org/project/pgscatalog.core/):

```
$ pipx install pgscatalog.core
```

## Documentation

Documentation is available at https://pygscatalog.readthedocs.io/.

## Developer instructions

You'll need [`nox`](https://nox.thea.codes/en/stable/index.html) and [`uv`](https://github.com/astral-sh/uv) installed. 

To get set up with a development environment run:

```
$ nox -s dev
$ source .venv/bin/activate
```

This will create a virtual environment in the current directory.

```
$ pgscatalog-download --help
```

`nox` can also be used to run tests and lint the package:

```
$ nox
```