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https://github.com/krasnitzlab/raids

Accurate and robust inference of genetic ancestry from cancer-derived molecular data across genomic platforms
https://github.com/krasnitzlab/raids

ancestry cancer-genomics exome-sequencing genomics inference r-language r-package rna-seq rna-sequencing whole-genome-sequencing

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Accurate and robust inference of genetic ancestry from cancer-derived molecular data across genomic platforms

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# Robust genetic ancestry inference from challenging 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](http://ca.linkedin.com/in/pascalbelleau "Pascal Belleau"),
[Astrid Deschênes](https://www.linkedin.com/in/astriddeschenes "Astrid Deschênes"),
[David A. Tuveson](https://tuvesonlab.labsites.cshl.edu/) and
[Alexander Krasnitz](https://www.cshl.edu/research/faculty-staff/alexander-krasnitz/ "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

## Bioconductor Package ##

[![Bioconductor Time](https://bioconductor.org/shields/years-in-bioc/RAIDS.svg)](https://bioconductor.org/packages/RAIDS)

The **RAIDS** package is now an official package
of [Bioconductor](http://bioconductor.org/).

The current Bioconductor release can be directly downloaded from their website:
[Current release](https://bioconductor.org/packages/RAIDS)

## Installation ##

To install this package
from [Bioconductor](https://bioconductor.org/packages/RAIDS), start R
(version "4.3" or later) and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")

BiocManager::install("RAIDS")

To install the latest version accessible from Github,
the [devtools](https://cran.r-project.org/web/packages/devtools/index.html)
package is required.

## Load required package
library(devtools)

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

## Documentation ##

[RAIDS Website](https://krasnitzlab.github.io/RAIDS/)

[RAIDS Get Started](https://krasnitzlab.github.io/RAIDS/articles/RAIDS.html)

## 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](https://opensource.org/licenses/Apache-2.0)

## Maintainer

[Pascal Belleau](https://github.com/belleau/ "Pascal Belleau")

## Bugs/Feature requests ##

[Please contact us](https://github.com/KrasnitzLab/RAIDS/issues) for bug fixes or with feature requests.

Thanks!