bioc-issue-bot
commented
5 years ago Hi @lgatto
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The DESCRIPTION file for this package is:
Package: depmap
Type: Package
Title: Cancer Dependency Map Data Package
Version: 0.99.0
Author: Theo Killian, Laurent Gatto
Authors@R: c(person(given = "Laurent", family = "Gatto",
email = "laurent.gatto@uclouvain.be",
role = c("cre", "aut")),
person(given = "Theo", family = "Killian",
email = "theo.killian@gmail.com",
role = "aut"))
Description: The depmap package is a data package that accesses datsets from the
Broad Institute DepMap cancer dependency study using ExperimentHub. Datasets
from the most current release are available, including RNAI and CRISPR-Cas9
gene knockout screens quantifying the genetic dependency for select cancer
cell lines. Additional datasets are also available pertaining to the log
copy number of genes for select cell lines, protein expression of cell lines
as measured by reverse phase protein lysate microarray (RPPA), 'Transcript
Per Million' (TPM) data, as well as supplementary datasets which contain
metadata and mutation calls for the other datasets found in the current
release. This package will be updated on a quarterly basis to incorporate
the latest Broad Institute DepMap Public cancer dependency datasets. All
data made available in this package was generated by the Broad Institute
DepMap for research purposes and not intended for clinical use. This data is
distributed under the Creative Commons license (Attribution 4.0
International (CC BY 4.0)).
Depends: R (>= 3.6), methods, dplyr, ExperimentHub
License: Artistic-2.0
Encoding: UTF-8
RoxygenNote: 6.1.1.9000
Suggests:
knitr,
rmarkdown,
BiocStyle,
viridis,
gridExtra,
ggplot2,
readr,
tibble,
stringr,
tidyr
VignetteBuilder: knitr
biocViews:
ExperimentHub,
ExperimentData,
ReproducibleResearch,
RepositoryData,
AssayDomainData,
CopyNumberVariationData,
DiseaseModel,
CancerData,
BreastCancerData,
ColonCancerData,
KidneyCancerData,
LeukemiaCancerData,
LungCancerData,
OvarianCancerData,
ProstateCancerData,
OrganismData,
Homo_sapiens_Data,
PackageTypeData,
SpecimenSource,
CellCulture,
Genome,
Proteome,
StemCell,
Tissue
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