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martini

GWAS Incorporating Networks

Bioconductor version: 3.23 · Package version: 1.32.0

martini deals with the low power inherent to GWAS studies by using prior knowledge represented as a network. SNPs are the vertices of the network, and the edges represent biological relationships between them (genomic adjacency, belonging to the same gene, physical interaction between protein products). The network is scanned using SConES, which looks for groups of SNPs maximally associated with the phenotype, that form a close subnetwork.

Installation

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

BiocManager::install("martini")

Details

MaintainerHector Climente-Gonzalez <hector.climente@a.riken.jp>
AuthorHector Climente-Gonzalez [aut, cre] (ORCID: <https://orcid.org/0000-0002-3030-7471>), Chloe-Agathe Azencott [aut] (ORCID: <https://orcid.org/0000-0003-1003-301X>)
LicenseGPL-3
URLhttps://github.com/hclimente/martini
Bug Reportshttps://github.com/hclimente/martini/issues
Downloads rank443
Source branchRELEASE_3_23
biocViewsFeatureExtraction, GeneticVariability, Genetics, GenomeWideAssociation, GraphAndNetwork, Network, SNP, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagemartini_1.32.0.tar.gz
Windows binary (x86_64)martini_1.31.0.zip
macOS binary (arm64)martini_1.32.0.tgz
macOS binary (x86_64)martini_1.32.0.tgz
Dependencies

Depends: R (>= 4.0)

Imports: igraph (>= 1.0.1), Matrix, memoise (>= 2.0.0), methods (>= 3.3.2), Rcpp (>= 0.12.8), snpStats (>= 1.20.0), stats, utils

LinkingTo: Rcpp, RcppEigen (>= 0.3.3.5.0)

Suggests: biomaRt (>= 2.34.1), circlize (>= 0.4.11), STRINGdb (>= 2.2.0), httr (>= 1.2.1), IRanges (>= 2.8.2), S4Vectors (>= 0.12.2), knitr, testthat, readr, rmarkdown