scirpy 0.4.2

Python library for single-cell TCR analysis

Scirpy is a scalable python-toolkit to analyse T cell receptor (TCR) repertoires from single-cell RNA sequencing (scRNA-seq) data. It seamlessly integrates with the popular scanpy library and provides various modules for data import, analysis and visualization.

Getting started

Please refer to the documentation. In particular, the

• Tutorial, and the

• API documentation.

In the documentation, you can also learn more about our T-cell receptor model.

Case-study

The case study from our preprint is available here.

Installation

You need to have Python 3.6 or newer installed on your system. If you don’t have Python installed, we recommend installing Miniconda.

There are several alternative options to install scirpy:

1. Install the latest release of scirpy from PyPI:

pip install scirpy

2. Get it from Bioconda:

conda install -c conda-forge -c bioconda scirpy

3. Install the latest development version:

pip install git+https://github.com/icbi-lab/scirpy.git@master

4. Run it in a container using Docker or Podman:

docker pull quay.io/biocontainers/scirpy:<tag>

where tag is one of these tags.

Support

We are happy to assist with problems when using scirpy. Please report any bugs, feature requests, or help requests using the issue tracker. We try to respond within two working days, however fixing bugs or implementing new features can take substantially longer, depending on the availability of our developers.

Release notes

See the release section.

Contact

Please use the issue tracker.

Citation

Sturm, G. Tamas, GS, …, Finotello, F. (2020). Scirpy: A Scanpy extension for analyzing single-cell T-cell receptor sequencing data. Bioinformatics. doi:10.1093/bioinformatics/btaa611