Bioc2026 Registration Open!

RAIDS

Robust Ancestry Inference using Data Synthesis

Bioconductor version: 3.23 · Package version: 1.10.0

This package implements specialized algorithms that enable genetic ancestry inference from various cancer sequences sources (RNA, Exome and Whole-Genome sequences). This package also implements a simulation algorithm that generates synthetic cancer-derived data. This code and analysis pipeline was designed and developed for the following publication: Belleau, P et al. Genetic Ancestry Inference from Cancer-Derived Molecular Data across Genomic and Transcriptomic Platforms. Cancer Res 1 January 2023; 83 (1): 49–58.

Installation

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

BiocManager::install("RAIDS")

Details

MaintainerPascal Belleau <pascal_belleau@hotmail.com>
AuthorPascal Belleau [cre, aut] (ORCID: <https://orcid.org/0000-0002-0802-1071>), Astrid Deschênes [aut] (ORCID: <https://orcid.org/0000-0001-7846-6749>), David A. Tuveson [aut] (ORCID: <https://orcid.org/0000-0002-8017-2712>), Alexander Krasnitz [aut]
LicenseApache License (>= 2)
URLhttps://krasnitzlab.github.io/RAIDS/
Bug Reportshttps://github.com/KrasnitzLab/RAIDS/issues
Downloads rank186
Source branchRELEASE_3_23
biocViewsBiocViews, DimensionReduction, GeneticVariability, Genetics, PrincipalComponent, Sequencing, Software, WholeGenome

Documentation

Download

Dependencies

Depends: R (>= 4.2.0), gdsfmt, SNPRelate, stats, utils, GENESIS, dplyr, Rsamtools

Imports: S4Vectors, GenomicRanges, ensembldb, BSgenome, AnnotationDbi, methods, class, pROC, IRanges, AnnotationFilter, rlang, VariantAnnotation, MatrixGenerics, ggplot2, stringr

Suggests: testthat, knitr, rmarkdown, BiocStyle, withr, Seqinfo, BSgenome.Hsapiens.UCSC.hg38, EnsDb.Hsapiens.v86