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pixelatorR

pixelatorR provides the infrastructure to process, analyze and visualize MPX and Proximity Network Assay (PNA) data for R users.

Pixelgen Technologies

© 2023 - Pixelgen Technologies AB

Installation

pixelatorR can be installed from GitHub by running the following code from R:

install.packages("remotes")
remotes::install_github("PixelgenTechnologies/pixelatorR")

Installation from source

You can also install pixelatorR from source by cloning the repository.

git clone https://github.com/pixelgentechnologies/pixelatorR.git

Then, in an R session, run:

install.packages("<path to pixelatorR directory>", repos = NULL, type = "source")

Usage

Visit our tutorials for a step-by step guide on MPX/PNA data analysis with pixelatorR. On this site, we also provide additional additional tutorials that are more directed towards users who are interested in the details of how pixelatorR stores and handles MPX/PNA data in R.

Function documentation can be accessed from the reference tab above. Alternatively, you can access the documentation from an R session by running ?function_name in the console once the package is installed.

Notes

pixelatorR is designed to work with classes from the SeuratObject R package. For the best analysis experience, we recommend installing Seurat v5.

Contact

For feature requests or bug reports, please use the GitHub issues.

You can also email the development team at developers@pixelgen.com.

Credits

pixelatorR is developed and maintained by the developers at Pixelgen Technologies.

When using pixelatorR in your research, please cite the following publication:

Karlsson, F., Kallas, T., Thiagarajan, D. et al. Molecular pixelation: spatial proteomics of single cells by sequencing. Nat Methods 21, 1044–1052 (2024). https://doi.org/10.1038/s41592-024-02268-9.

Package maintainer:

Contributors:

A huge thank you to all code contributors!