martini
GWAS Incorporating Networks
Bioconductor version: 3.24 · Package version: 1.33.0
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
| Maintainer | Hector Climente-Gonzalez <hector.climente@a.riken.jp> |
| Author | Hector Climente-Gonzalez [aut, cre] (ORCID: <https://orcid.org/0000-0002-3030-7471>), Chloe-Agathe Azencott [aut] (ORCID: <https://orcid.org/0000-0003-1003-301X>) |
| License | GPL-3 |
| URL | https://github.com/hclimente/martini |
| Bug Reports | https://github.com/hclimente/martini/issues |
| Downloads rank | 443 |
| Source branch | devel |
| biocViews | FeatureExtraction, GeneticVariability, Genetics, GenomeWideAssociation, GraphAndNetwork, Network, SNP, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | martini_1.33.0.tar.gz |
| macOS binary (arm64) | martini_1.33.0.tgz |
| macOS binary (x86_64) | martini_1.33.0.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