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Accurate genetic ancestry inference from cancer-derived molecular data with RAIDS

The Robust Ancestry Inference using Data Synthesis (RAIDS) package enables accurate and robust inference of genetic ancestry from various types of molecular data, including whole-genome, whole-exome, targeted gene panels and RNA sequences, as described in our manuscript. Our tools retain high accuracy in presence of somatic alterations, such as those caused by cancer.

This code and analysis pipeline were designed and developed for the following publication:

Pascal Belleau, Astrid Deschênes, Nyasha Chambwe, David A. Tuveson, Alexander Krasnitz; Genetic Ancestry Inference from Cancer-Derived Molecular Data across Genomic and Transcriptomic Platforms. Cancer Res 1 January 2023; 83 (1): 49–58. https://doi.org/10.1158/0008-5472.CAN-22-0682

Authors

Pascal Belleau, Astrid Deschênes, David A. Tuveson and Alexander Krasnitz

Citing

If you use the RAIDS package for a publication, we would ask you to cite the following:

Pascal Belleau, Astrid Deschênes, Nyasha Chambwe, David A. Tuveson, Alexander Krasnitz; Genetic Ancestry Inference from Cancer-Derived Molecular Data across Genomic and Transcriptomic Platforms. Cancer Res 1 January 2023; 83 (1): 49–58. https://doi.org/10.1158/0008-5472.CAN-22-0682

Installation

To install the latest version accessible, the devtools package is required.

 ## Load required package
 library(devtools)

 ## Install the latest version of RAIDS
 devtools::install_github('KrasnitzLab/RAIDS')

Documentation

RAIDS Website

RAIDS Get Started

License

This package and the underlying RAIDS code are distributed under the Apache-2.0 license. You are free to use and redistribute this software.

For more information on Apache-2.0 License see https://opensource.org/licenses/Apache-2.0

Maintainer

Pascal Belleau

Bugs/Feature requests

Please contact us for bug fixes or with feature requests.

Thanks!

raids's People

Contributors

adeschen avatar belleau avatar krasnitz avatar

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