bioc-issue-bot
commented
1 week ago Hi @DimitriMeistermann
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: oob
Type: Package
Title: oob: a toolbox for analyzing OMIC data, Out Of Bounds from any black box
Version: 0.99.0
Authors@R: person("Dimitri", "Meistermann", email = "dimitri.meistermann@helsinki.fi",role = c("aut", "cre"), comment=c(ORCID="0000-0001-6614-2325"))
Description: A toolbox for analyzing OMIC data, Out Of Bounds from any black box by avoiding the use of complex objects.
This package provide function for analyzing OMIC data, with a focus on plots and bulk/single-cell RNA-Seq.
In addition of providing diverse wrappers and utilities to ease the use of R with large datsets, it contains several unique features.
Among them, the TRIMAP dimension reduction implementated with reticulate and tools for enriching intersection of gene lists.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
biocViews:
Software,
ResearchField,
Transcriptomics,
Clustering,
DimensionReduction
RoxygenNote: 7.3.2
Roxygen: list(markdown = TRUE)
Depends:
R (>= 4.4.0),
ggplot2,
stats,
ComplexHeatmap
Imports:
basilisk,
batchelor,
BiocParallel,
BiocGenerics,
circlize,
data.table,
dbscan,
ggbeeswarm,
ggrepel,
glmnet,
grDevices,
grid,
irlba,
labeling,
lsa,
MASS,
Matrix,
pvclust,
reshape2,
reticulate,
rgl,
Rcpp,
RcppArmadillo,
rlang,
scales,
scater,
scattermore,
scran,
SingleCellExperiment,
SummarizedExperiment,
stringr,
cli,
uwot,
graphics,
methods,
utils
Suggests:
knitr,
rmarkdown,
qualpalr,
WGCNA
VignetteBuilder: knitr
LinkingTo:
Rcpp,
RcppArmadillo
URL: https://github.com/DimitriMeistermann/oob
BugReports: https://github.com/DimitriMeistermann/oob/issues
StagedInstall: no
lshep
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 Bioconductor Package Naming Policy and acknowledge Bioconductor may retain use of package name.
[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.
[x] I am familiar with the Bioconductor code of conduct and agree to abide by it.
I am familiar with the essential aspects of Bioconductor software management, including:
For questions/help about the submission process, including questions about the output of the automatic reports generated by the SPB (Single Package Builder), please use the #package-submission channel of our Community Slack. Follow the link on the home page of the Bioconductor website to sign up.