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RAIDS

This is thedevelopment version of RAIDS; for the stable release version, seeRAIDS.

Robust Ancestry Inference using Data Synthesis

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DOI: 10.18129/B9.bioc.RAIDS


Bioconductor version: Development (3.23)

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.

Author: Pascal Belleau [cre, aut]ORCID iD ORCID: 0000-0002-0802-1071, Astrid Deschênes [aut]ORCID iD ORCID: 0000-0001-7846-6749, David A. Tuveson [aut]ORCID iD ORCID: 0000-0002-8017-2712, Alexander Krasnitz [aut]

Maintainer: Pascal Belleau <pascal_belleau at hotmail.com>

Citation (from within R, entercitation("RAIDS")):

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")# The following initializes usage of Bioc develBiocManager::install(version='devel')BiocManager::install("RAIDS")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

Reference ManualPDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsBiocViews,DimensionReduction,GeneticVariability,Genetics,PrincipalComponent,Sequencing,Software,WholeGenome
Version1.9.0
In Bioconductor sinceBioC 3.18 (R-4.3) (2 years)
LicenseApache License (>= 2)
DependsR (>= 4.2.0),gdsfmt,SNPRelate, stats, utils,GENESIS,dplyr,Rsamtools
ImportsS4Vectors,GenomicRanges,ensembldb,BSgenome,AnnotationDbi, methods,class,pROC,IRanges,AnnotationFilter,rlang,VariantAnnotation,MatrixGenerics,ggplot2,stringr
System Requirements
URLhttps://krasnitzlab.github.io/RAIDS/
Bug Reportshttps://github.com/KrasnitzLab/RAIDS/issues
See More
Suggeststestthat,knitr,rmarkdown,BiocStyle,withr,Seqinfo,BSgenome.Hsapiens.UCSC.hg38,EnsDb.Hsapiens.v86
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Package Archives

FollowInstallation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/RAIDS
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/RAIDS
Package Short Urlhttps://bioconductor.org/packages/RAIDS/
Package Downloads ReportDownload Stats

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