RAIDS

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

https://github.com/krasnitzlab/raids

Science Score: 39.0%

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    Found 4 DOI reference(s) in README
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  • Scientific vocabulary similarity
    Low similarity (12.5%) to scientific vocabulary

Keywords

ancestry cancer-genomics exome-sequencing genomics inference r-language r-package rna-seq rna-sequencing whole-genome-sequencing
Last synced: 6 months ago · JSON representation

Repository

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

Basic Info
Statistics
  • Stars: 5
  • Watchers: 2
  • Forks: 4
  • Open Issues: 0
  • Releases: 10
Topics
ancestry cancer-genomics exome-sequencing genomics inference r-language r-package rna-seq rna-sequencing whole-genome-sequencing
Created almost 4 years ago · Last pushed 9 months ago
Metadata Files
Readme License

README.md

License codecov R-CMD-check-bioc <!-- badges: end -->

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, Astrid Deschênes, David A. Tuveson and 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

The RAIDS package is now an official package of Bioconductor.

The current Bioconductor release can be directly downloaded from their website: Current release

Installation

To install this package from Bioconductor, 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 package is required.

 ## Load required package
 library(devtools)

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

Documentation

RAIDS Website

RAIDS Get Started

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

Maintainer

Pascal Belleau

Bugs/Feature requests

Please contact us for bug fixes or with feature requests.

Thanks!

Owner

  • Name: KrasnitzLab
  • Login: KrasnitzLab
  • Kind: organization

GitHub Events

Total
  • Issues event: 2
  • Issue comment event: 4
  • Push event: 112
  • Pull request event: 106
  • Create event: 1
Last Year
  • Issues event: 2
  • Issue comment event: 4
  • Push event: 112
  • Pull request event: 106
  • Create event: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 4
  • Total pull requests: 162
  • Average time to close issues: over 1 year
  • Average time to close pull requests: about 1 hour
  • Total issue authors: 2
  • Total pull request authors: 2
  • Average comments per issue: 4.5
  • Average comments per pull request: 0.2
  • Merged pull requests: 159
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 63
  • Average time to close issues: N/A
  • Average time to close pull requests: about 1 hour
  • Issue authors: 0
  • Pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.05
  • Merged pull requests: 60
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • adeschen (2)
  • mdozmorov (2)
  • belleau (1)
Pull Request Authors
  • adeschen (175)
  • belleau (42)
Top Labels
Issue Labels
enhancement (2)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • bioconductor 4,399 total
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 4
  • Total maintainers: 1
bioconductor.org: RAIDS

Robust Ancestry Inference using Data Synthesis

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 4,399 Total
Rankings
Dependent repos count: 0.0%
Forks count: 12.4%
Stargazers count: 19.6%
Dependent packages count: 31.7%
Average: 32.4%
Downloads: 98.3%
Maintainers (1)
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • GENESIS * depends
  • R >= 4.0 depends
  • SNPRelate * depends
  • gdsfmt * depends
  • stats * depends
  • utils * depends
  • AnnotationDbi * imports
  • EnsDb.Hsapiens.v86 * imports
  • S4Vectors * imports
  • class * imports
  • ensembldb * imports
  • methods * imports
  • pROC * imports
  • BiocStyle * suggests
  • GenomicRanges * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • testthat * suggests
  • withr * suggests
.github/workflows/check-bioc.yaml actions
  • actions/cache v3 composite
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  • actions/upload-artifact master composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
.github/workflows/test-coverage.yaml actions
  • actions/checkout v3 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite