Package: gQTLstats
Title: gQTLstats: computationally efficient analysis for eQTL and
        allied studies
Version: 1.16.0
Author: VJ Carey <stvjc@channing.harvard.edu>
Description: computationally efficient analysis of eQTL, mQTL, dsQTL, etc.
Suggests: geuvPack, geuvStore2, Rsamtools, knitr, rmarkdown, ggbio,
        BiocStyle, RUnit, multtest, gwascat, org.Hs.eg.db,
        TxDb.Hsapiens.UCSC.hg19.knownGene, ldblock
Depends: R (>= 3.1.0), Homo.sapiens
Imports: methods, snpStats, BiocGenerics, S4Vectors (>= 0.9.25),
        IRanges, GenomeInfoDb, GenomicFiles, GenomicRanges,
        SummarizedExperiment, VariantAnnotation, Biobase, BatchJobs,
        gQTLBase, limma, mgcv, dplyr, AnnotationDbi, GenomicFeatures,
        ggplot2, reshape2, doParallel, foreach, ffbase, BBmisc,
        beeswarm, HardyWeinberg, graphics, stats, utils, shiny, plotly,
        erma, ggbeeswarm
Maintainer: VJ Carey <stvjc@channing.harvard.edu>
License: Artistic-2.0
LazyLoad: yes
VignetteBuilder: knitr
BiocViews: SNP, GenomeAnnotation, Genetics
git_url: https://git.bioconductor.org/packages/gQTLstats
git_branch: RELEASE_3_9
git_last_commit: c68a9cf
git_last_commit_date: 2019-05-02
Date/Publication: 2019-05-02
NeedsCompilation: no
Packaged: 2019-05-03 03:35:36 UTC; biocbuild
Built: R 3.6.0; ; 2019-05-03 13:32:19 UTC; windows
