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martini

This is thereleased version of martini; for the devel version, seemartini.

GWAS Incorporating Networks

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DOI: 10.18129/B9.bioc.martini


Bioconductor version: Release (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]ORCID iD ORCID: 0000-0002-3030-7471, Chloe-Agathe Azencott [aut]ORCID iD ORCID: 0000-0003-1003-301X

Maintainer: Hector Climente-Gonzalez <hector.climente at a.riken.jp>

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

Installation

To install this package, start R (version "4.5") and enter:

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

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("martini")
Running SConESHTMLR Script
Simulating SConES-based phenotypesHTMLR Script
Reference ManualPDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsFeatureExtraction,GeneticVariability,Genetics,GenomeWideAssociation,GraphAndNetwork,Network,SNP,Software
Version1.30.0
In Bioconductor sinceBioC 3.7 (R-3.5) (7.5 years)
LicenseGPL-3
DependsR (>= 4.0)
Importsigraph (>= 1.0.1),Matrix,memoise (>= 2.0.0), methods (>= 3.3.2),Rcpp (>= 0.12.8),snpStats(>= 1.20.0), stats, utils
System Requirements
URLhttps://github.com/hclimente/martini
Bug Reportshttps://github.com/hclimente/martini/issues
See More
SuggestsbiomaRt(>= 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 ToRcpp,RcppEigen (>= 0.3.3.5.0)
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source Packagemartini_1.30.0.tar.gz
Windows Binary (x86_64) martini_1.29.0.zip
macOS Binary (x86_64)martini_1.30.0.tgz
macOS Binary (arm64)martini_1.30.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/martini
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/martini
Bioc Package Browserhttps://code.bioconductor.org/browse/martini/
Package Short Urlhttps://bioconductor.org/packages/martini/
Package Downloads ReportDownload Stats

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