hclimente/martini: GWAS Incorporating Networks
Version 1.1.0

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.

Getting started

Package details

Bioconductor views FeatureExtraction GeneticVariability Genetics GenomeWideAssociation GraphAndNetwork Network SNP Software
MaintainerHector Climente-Gonzalez <[email protected]>
LicenseMIT + file LICENSE
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
hclimente/martini documentation built on July 16, 2018, 11:07 a.m.