index.qmd

# Interoperability between R and Python using BiocPy

## Welcome

Welcome to our workshop on exploring the data structures and methods 
available in [BiocPy](https://github.com/biocpy), a project that aims 
to facilitate Bioconductor workflows in Python. 

In this workshop, we will focus on interoperability between R and Python, covering two main topics:

- Perform range-based analyses using [GenomicRanges](https://github.com/BiocPy/GenomicRanges).
- Annotate cell types in single-cell RNA-seq data stored as [SingleCellExperiment](https://github.com/BiocPy/SingleCellExperiment) object. 

Attendees will learn how to represent and manipulate their datasets in Python 
in the same manner as in R/Bioconductor. 
All packages in BiocPy are published to PyPI, and the code is open-source 
on [GitHub](https://github.com/BiocPy).

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## Core contributors

- [Jayaram Kancherla](https://github.com/jkanche)
- [Aaron Lun](https://github.com/LTLA)

We are looking for more contributions from the community to improve our packages! If you are interested, please check out the issues or discussion in our GitHub organization.

## Other resources

- A more detailed tutorial on BiocPy representations is available [here](https://biocpy.github.io/tutorial/).
- Check out all the package in the BiocPy ecosystem on [GitHub](https://github.com/biocpy).

## Developer notes

This is a reproducible Quarto book with reusable snippets. Check out the [session information](./tutorials/sessioninfo.qmd) for versions of installed packages.