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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. For more details see Shabalin (2012) <doi:10.1093/bioinformatics/bts163>.

Version: 2.3
Depends: R (≥ 2.12.0), methods, utils, graphics, stats
Published: 2019-12-22
DOI: 10.32614/CRAN.package.MatrixEQTL
Author: Andrey A Shabalin ORCID iD [aut, cre]
Maintainer: Andrey A Shabalin <andrey.shabalin at gmail.com>
BugReports: https://github.com/andreyshabalin/MatrixEQTL/issues
License: LGPL-3
URL: http://www.bios.unc.edu/research/genomic_software/Matrix_eQTL/
NeedsCompilation: no
Citation: MatrixEQTL citation info
CRAN checks: MatrixEQTL results

Documentation:

Reference manual: MatrixEQTL.pdf

Downloads:

Package source: MatrixEQTL_2.3.tar.gz
Windows binaries: r-devel: MatrixEQTL_2.3.zip, r-release: MatrixEQTL_2.3.zip, r-oldrel: MatrixEQTL_2.3.zip
macOS binaries: r-release (arm64): MatrixEQTL_2.3.tgz, r-oldrel (arm64): MatrixEQTL_2.3.tgz, r-release (x86_64): MatrixEQTL_2.3.tgz, r-oldrel (x86_64): MatrixEQTL_2.3.tgz
Old sources: MatrixEQTL archive

Reverse dependencies:

Reverse depends: BootstrapQTL

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.