Biobase, BiocGenerics (>= 0.13.6), ProtGenerics (>= 1.9.1),
ncdf4

msdata (>= 0.15.1), RUnit, mzID, BiocStyle (>= 2.5.19),
knitr, XML

ImmunoOncology, Infrastructure, DataImport, Proteomics,
Metabolomics, MassSpectrometry

Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey, Qiang Kou,
 Nathan Russell, Douglas Bates and John Chambers

The 'Rcpp' package provides R functions as well as C++ classes which
 offer a seamless integration of R and C++. Many R data types and objects can be
 mapped back and forth to C++ equivalents which facilitates both writing of new
 code as well as easier integration of third-party libraries. Documentation
 about 'Rcpp' is provided by several vignettes included in this package, via the
 'Rcpp Gallery' site at <http://gallery.rcpp.org>, the paper by Eddelbuettel and
 Francois (2011, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013,
 <doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2018,
 <doi:10.1080/00031305.2017.1375990>); see 'citation("Rcpp")' for details.

RUnit, inline, rbenchmark, knitr, rmarkdown, pinp, pkgKitten
(>= 0.1.2)

Please send questions and comments regarding Rcpp to
rcpp-devel@lists.r-forge.r-project.org

Bioconductor facilities for parallel evaluation

c(
    person("Bioconductor Package Maintainer",
        email="maintainer@bioconductor.org", role="cre"),
    person("Martin", "Morgan", role="aut"),
    person("Valerie", "Obenchain", role="aut"),
    person("Michel", "Lang", email="michellang@gmail.com", role="aut"),
    person("Ryan", "Thompson", email="rct@thompsonclan.org", role="aut"),
    person("Nitesh", "Turaga", role="aut"))

This package provides modified versions and novel
    implementation of functions for parallel evaluation, tailored to
    use with Bioconductor objects.

stats, utils, futile.logger, parallel, snow

BiocGenerics, tools, foreach, BatchJobs, BBmisc, doParallel,
Rmpi, GenomicRanges, RNAseqData.HNRNPC.bam.chr14,
TxDb.Hsapiens.UCSC.hg19.knownGene, VariantAnnotation,
Rsamtools, GenomicAlignments, ShortRead, codetools, RUnit,
BiocStyle, knitr, batchtools, data.table