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 bioRxiv manuscript. Our tools retain high accuracy in presence of somatic alterations, such as those caused by cancer.
This code and analysis pipeline was designed and developed for the following publication:
Pascal Belleau, Astrid DeschĂȘnes, David A. Tuveson, Alexander Krasnitz. Accurate and robust inference of genetic ancestry from cancer-derived molecular data across genomic platforms. bioRxiv 2022.02.01.478737; doi: https://doi.org/10.1101/2022.02.01.478737
Pascal Belleau, Astrid DeschĂȘnes, David A. Tuveson and Alexander Krasnitz
If you use the RAIDS package for a publication, we would ask you to cite the following:
Pascal Belleau, Astrid DeschĂȘnes, David A. Tuveson, Alexander Krasnitz. Accurate and robust inference of genetic ancestry from cancer-derived molecular data across genomic platforms. bioRxiv 2022.02.01.478737; doi: https://doi.org/10.1101/2022.02.01.478737
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')
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
If you have any bugs or feature requests, let us know.
Thanks!
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