rqt

DOI: 10.18129/B9.bioc.rqt    

rqt: utilities for gene-level meta-analysis

Bioconductor version: Release (3.6)

Despite the recent advances of modern GWAS methods, it still remains an important problem of addressing calculation an effect size and corresponding p-value for the whole gene rather than for single variant. The R- package rqt offers gene-level GWAS meta-analysis. For more information, see: "Gene-set association tests for next-generation sequencing data" by Lee et al (2016), Bioinformatics, 32(17), i611-i619, .

Author: I. Y. Zhbannikov, K. G. Arbeev, A. I. Yashin.

Maintainer: Ilya Y. Zhbannikov <ilya.zhbannikov at duke.edu>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("rqt")

Documentation

HTML	R Script	Tutorial for rqt package
PDF		Reference Manual
Text		NEWS

Details

biocViews	GenomeWideAssociation, PrincipalComponent, Regression, Sequencing, Software, StatisticalMethod, Survival
Version	1.4.0
In Bioconductor since	BioC 3.5 (R-3.4) (1 year)
License	GPL
Depends	R (>= 3.4), SummarizedExperiment
Imports	stats, Matrix, ropls, methods, car, RUnit, metap, CompQuadForm, glmnet, utils, pls
LinkingTo
Suggests	BiocStyle, knitr, rmarkdown
SystemRequirements
Enhances
URL	https://github.com/izhbannikov/rqt
BugReports	https://github.com/izhbannikov/rqt/issues
Depends On Me
Imports Me
Suggests Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	rqt_1.4.0.tar.gz
Windows Binary	rqt_1.4.0.zip
Mac OS X 10.11 (El Capitan)	rqt_1.4.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/rqt
Package Short Url	http://bioconductor.org/packages/rqt/
Package Downloads Report	Download Stats