Infercnv is a scalable python library to infer copy number variation (CNV) events from single cell transcriptomics data. It is heavliy inspired by InferCNV, but plays nicely with scanpy and is much more scalable.

WARNING:

This package is still experimental. The results have not been validated, except in that they look similar, but not identical, to the results of InferCNV.

We are happy about feedback and welcome contributions!

Please refer to the documentation. In particular, the

• API documentation.

You need to have Python 3.8 or newer installed on your system. If you don't have Python installed, we recommend installing Mambaforge.

There are several alternative options to install infercnvpy:

1. Install the latest release of infercnvpy from PyPI <https://pypi.org/project/infercnvpy/>_:

pip install infercnvpy

2. Install the latest development version:

pip install git+https://github.com/icbi-lab/infercnvpy.git@main

To (optionally) run the copyKAT algorithm, you need a working R installation and the copykat package installed. Usually, if R is in your PATH, rpy2 automatically detects your R installation. If you get an error message while importing infercnvpy, try setting the R_HOME environment variable before importing infercnvpy:

import os

os.environ["R_HOME"] = "/usr/lib/R"
import infercnvpy

See the changelog.

For questions and help requests, you can reach out in the scverse discourse. If you found a bug, please use the issue tracker.

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