bioc-issue-bot
commented
4 years ago Hi @pmoulos
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: metaseqR2
Type: Package
Title: An R package for the analysis and result reporting
of RNA-Seq data by combining multiple statistical
algorithms
Author: Panagiotis Moulos <moulos@fleming.gr>
Maintainer: Panagiotis Moulos <moulos@fleming.gr>
Depends:
R (>= 4.0.0),
DESeq,
limma,
qvalue
Imports:
ABSSeq,
baySeq,
Biobase,
BiocParallel,
biomaRt,
Biostrings,
corrplot,
DESeq2,
DSS,
DT,
EDASeq,
edgeR,
GenomeInfoDb,
GenomicAlignments,
GenomicFeatures,
GenomicRanges,
gplots,
graphics,
grDevices,
heatmaply,
htmltools,
httr,
IRanges,
jsonlite,
log4r,
NOISeq,
magrittr,
methods,
NBPSeq,
pander,
parallel,
rmarkdown,
rmdformats,
Rsamtools,
RSQLite,
rtracklayer,
S4Vectors,
splines,
stats,
stringr,
SummarizedExperiment,
survcomp,
utils,
VennDiagram,
vsn,
zoo
Suggests:
BiocGenerics,
BiocManager,
BSgenome,
knitr,
RMySQL,
RUnit
Enhances:
TCC
Description: Provides an interface to several normalization and
statistical testing packages for RNA-Seq gene expression data.
Additionally, it creates several diagnostic plots, performs
meta-analysis by combinining the results of several statistical
tests and reports the results in an interactive way.
License: GPL (>= 3)
Encoding: UTF-8
LazyLoad: yes
LazyData: yes
URL: http://www.fleming.gr
biocViews: Software, GeneExpression, DifferentialExpression, WorkflowStep,
Preprocessing, QualityControl, Normalization, ReportWriting, RNASeq,
Transcription, Sequencing, Transcriptomics, Bayesian, Clustering,
CellBiology, BiomedicalInformatics, FunctionalGenomics, SystemsBiology,
ImmunoOncology, AlternativeSplicing, DifferentialSplicing,
MultipleComparison, TimeCourse, DataImport
VignetteBuilder: knitr
Authors@R: c(person(given="Panagiotis", family="Moulos",
email="moulos@fleming.gr", role=c("aut", "cre")))
Version: 0.0.21
Date: 2020-03-25
Collate:
'annotation.R'
'argcheck.R'
'count.R'
'metaseqr2-data.R'
'export.R'
'filter.R'
'json.R'
'main.R'
'meta.R'
'norm.R'
'metaseqR2-package.R'
'plot.R'
'query.R'
'reportdb.R'
'sim.R'
'stat.R'
'tracks.R'
'util.R'
'zzz.R'
mtmorgan
pmoulos
Kayla-Morrell
Update the following URL to point to the GitHub repository of the package you wish to submit to Bioconductor
Confirm the following by editing each check box to '[x]'
[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 instructions. My package is consistent with the Bioconductor Package Guidelines.
[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 for issues that users may have, subscribing to the bioc-devel 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:
For help with submitting your package, please subscribe and post questions to the bioc-devel mailing list.