Package: rqt 1.39.0

Ilya Zhbannikov

rqt: rqt: utilities for gene-level meta-analysis

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, <doi:10.1093/bioinformatics/btw429>.

Authors:Ilya Zhbannikov [aut, cre], Konstantin Arbeev [aut], Anatoliy Yashin [aut]

rqt_1.39.0.tar.gz
rqt_1.39.0.zip(r-4.7)rqt_1.39.0.zip(r-4.6)rqt_1.39.0.zip(r-4.5)
rqt_1.39.0.tgz(r-4.6-any)rqt_1.39.0.tgz(r-4.5-any)
rqt_1.39.0.tar.gz(r-4.7-any)rqt_1.39.0.tar.gz(r-4.6-any)
rqt_1.39.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
rqt/json (API)
NEWS

# Install 'rqt' in R:
install.packages('rqt', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/izhbannikov/rqt/issues

On BioConductor:rqt-1.39.0(bioc 3.24)rqt-1.38.0(bioc 3.23)

genomewideassociationregressionsurvivalprincipalcomponentstatisticalmethodsequencing

4.30 score 2 stars 4 scripts 346 downloads 1 mentions 7 exports 148 dependencies

Last updated from:c2bb3beff9. Checks:1 NOTE, 9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE202
linux-devel-x86_64OK337
source / vignettesOK257
linux-release-x86_64OK318
macos-release-arm64OK207
macos-oldrel-arm64OK172
windows-develOK200
windows-releaseOK233
windows-oldrelOK212
wasm-releaseOK167

Exports:covariatesgeneTestgeneTestMetagenotypephenotyperesultsrqt

Dependencies:abindaskpassbackportsbase64encBiobaseBiocBaseUtilsBiocGenericsbootbroombslibcachemcalibratecarcarDataclicodetoolscolorspaceCompQuadFormcowplotcpp11crosstalkcurldata.tableDelayedArrayDEoptimRDerivdigestdoBydplyrevaluatefarverfastmapfontawesomeforeachforecastFormulafracdifffsgenericsGenomicRangesggplot2ggrepelglmnetgluegtablehighrhtmltoolshtmlwidgetshttrIRangesisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelimmalme4lmtestmagrittrMASSmathjaxrMatrixMatrixGenericsMatrixModelsmatrixStatsmemoisemetapmgcvmicrobenchmarkmimeminqamnormtmodelrmultcompMultiAssayExperimentMultiDataSetmulttestmutossmvtnormnlmenloptrnnetnumDerivopensslotelpbkrtestpillarpkgconfigplotlyplotrixplspromisespurrrqqconfqqmanquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrmarkdownrobustbaseroplsRUnitS4ArraysS4VectorsS7sandwichsassscalesSeqinfoshapesnSparseArraySparseMstatmodstringistringrSummarizedExperimentsurvivalsysTFisherTH.datatibbletidyrtidyselecttimeDatetinytexurcautf8vctrsviridisLitewithrxfunXVectoryamlzoo

Using RQT, an R package for gene-level meta-analysis

Ilya Y. Zhbannikov

Rendered fromrqt-vignette.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2024-08-01
Started: 2017-03-01