MatrixEQTL: Matrix eQTL: Ultra fast eQTL analysis via large matrix operations

Matrix eQTL is designed for fast eQTL analysis on large datasets. Matrix eQTL can test for association between genotype and gene expression using linear regression with either additive or ANOVA genotype effects. The models can include covariates to account for factors as population stratification, gender, and clinical variables. It also supports models with heteroscedastic and/or correlated errors, false discovery rate estimation and separate treatment of local (cis) and distant (trans) eQTLs.

Version: 2.1.1
Depends: R (≥ 2.12.0), methods
Published: 2015-02-03
Author: Andrey Shabalin
Maintainer: Andrey Shabalin <ashabalin at>
License: LGPL-3
NeedsCompilation: no
Citation: MatrixEQTL citation info
CRAN checks: MatrixEQTL results


Reference manual: MatrixEQTL.pdf
Package source: MatrixEQTL_2.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: MatrixEQTL_2.1.1.tgz
OS X Mavericks binaries: r-oldrel: MatrixEQTL_2.1.1.tgz
Old sources: MatrixEQTL archive

Reverse dependencies:

Reverse depends: reGenotyper


Please use the canonical form to link to this page.