bioc-issue-bot
commented
4 years ago Hi @mbstadler
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: eisaR
Title: Exon-Intron Split Analysis (EISA) in R
Version: 0.99.0
Authors@R: c(person("Michael", "Stadler", email = "michael.stadler@fmi.ch", role = c("aut", "cre")),
person("Dimos", "Gaidatzis", email = "dimosthenis.gaidatzis@fmi.ch", role = "aut"),
person("Lukas", "Burger", email = "lukas.burger@fmi.ch", role = "aut"),
person("Charlotte", "Soneson", email = "charlotte.soneson@fmi.ch", role = "aut"))
Description: Exon-intron split analysis (EISA) uses ordinary RNA-seq data to measure
changes in mature RNA and pre-mRNA reads across different experimental conditions
to quantify transcriptional and post-transcriptional regulation of gene expression.
For details see Gaidatzis et al., Nat Biotechnol 2015. doi: 10.1038/nbt.3269.
eisaR implements the major steps of EISA in R.
Depends: R (>= 4.0.0)
License: GPL-3
biocViews:
Transcription,
GeneExpression,
GeneRegulation,
FunctionalGenomics,
Transcriptomics,
Regression,
RNASeq
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.0
Suggests:
knitr,
rmarkdown,
testthat,
BiocStyle,
QuasR,
Rbowtie,
Biostrings,
BSgenome,
BSgenome.Hsapiens.UCSC.hg38
VignetteBuilder: knitr
Imports:
graphics,
stats,
GenomicRanges,
GenomicFeatures,
S4Vectors,
IRanges,
AnnotationDbi,
limma,
edgeR,
methods,
SummarizedExperiment,
BiocGenerics,
rtracklayer,
utils
LiNk-NY
mbstadler
mtmorgan
Repository: https://github.com/fmicompbio/eisaR
[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.
Remark: This is currently the case, except for an issue where the checker fails to correctly interpret non-standard code evaluation, as in
BiocGenerics::subset(x, type = "exon"), where the checks fail due to a "missing" variable type.[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.
Thank you!