martini
This is the development version of martini; for the stable release version, see martini.
GWAS Incorporating Networks
Bioconductor version: Development (3.22)
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.
Author: Hector Climente-Gonzalez [aut, cre]
, Chloe-Agathe Azencott [aut]
Maintainer: Hector Climente-Gonzalez <hector.climente at a.riken.jp>
citation("martini")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("martini")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
| Reference Manual |
Details
| biocViews | FeatureExtraction, GeneticVariability, Genetics, GenomeWideAssociation, GraphAndNetwork, Network, SNP, Software |
| Version | 1.29.0 |
| In Bioconductor since | BioC 3.7 (R-3.5) (7 years) |
| License | GPL-3 |
| 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 |
| System Requirements | |
| URL | https://github.com/hclimente/martini |
| Bug Reports | https://github.com/hclimente/martini/issues |
See More
| 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 |
| Linking To | Rcpp, RcppEigen (>= 0.3.3.5.0) |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/martini |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/martini |
| Package Short Url | https://bioconductor.org/packages/martini/ |
| Package Downloads Report | Download Stats |