bioc-issue-bot
commented
5 years ago Hi @scanopm
Thanks for submitting your package. We are taking a quick look at it and you will hear back from us soon.
The DESCRIPTION file for this package is:
Package: GladiaTOX
Type: Package
biocViews:
Software,
WorkflowStep,
Normalization,
Preprocessing
Title: R Package for Processing High Content Screening data
Version: 0.99.0
Author: Vincenzo Belcastro [aut, cre],
Dayne L Filer <dayne.filer@gmail.com> [aut],
Stephane Cano [aut]
Maintainer: PMP S.A. R Support <DL.RSupport@pmi.com>
Description: GladiaTOX is an open-source solution for HCS data processing and reporting that expands the toxcast pipeline package.
License: GPL-2, file COPYING, file LICENSE
Depends:
R (>= 3.2.0),
data.table (>= 1.9.4)
Imports:
DBI,
RMySQL,
RSQLite,
numDeriv,
RColorBrewer,
parallel,
stats,
methods,
graphics,
grDevices,
xtable,
tools,
brew,
stringr,
RJSONIO,
ggplot2,
ggrepel,
tidyr,
utils
LazyData: TRUE
VignetteBuilder: knitr
Suggests:
roxygen2,
knitr,
rmarkdown,
testthat
NeedsCompilation: no
RoxygenNote: 5.0.1
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vbelcastPM
mtmorgan
Kayla-Morrell
Repository: https://github.com/philipmorrisintl/GladiaTOX
[x] I understand that by submitting my package to Bioconductor, the package source and all review commentary are visible to the general public.
[x] I have read the Bioconductor [Package Submission][2] instructions. My package is consistent with the Bioconductor [Package Guidelines][1].
[x] I understand that a minimum requirement for package acceptance is to pass R CMD check and R CMD BiocCheck with no ERROR or WARNINGS. Passing these checks does not result in automatic acceptance. The package will then undergo a formal review and recommendations for acceptance regarding other Bioconductor standards will be addressed.
[x] My package addresses statistical or bioinformatic issues related to the analysis and comprehension of high throughput genomic data.
[x] I am committed to the long-term maintenance of my package. This includes monitoring the [support site][3] for issues that users may have, subscribing to the [bioc-devel][4] mailing list to stay aware of developments in the Bioconductor community, responding promptly to requests for updates from the Core team in response to changes in R or underlying software.
I am familiar with the essential aspects of Bioconductor software management, including: