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
| Maintainer | Pascal Belleau <pascal_belleau@hotmail.com> |
| Author | Pascal 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] |
| License | Apache License (>= 2) |
| URL | https://krasnitzlab.github.io/RAIDS/ |
| Bug Reports | https://github.com/KrasnitzLab/RAIDS/issues |
| Downloads rank | 186 |
| Source branch | RELEASE_3_23 |
| biocViews | BiocViews, DimensionReduction, GeneticVariability, Genetics, PrincipalComponent, Sequencing, Software, WholeGenome |
Documentation
- Population reference dataset GDS files
- Robust Ancestry Inference using Data Synthesis
- Using wrappper functions
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