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DESCRIPTION
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DESCRIPTION
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Package: depmap
Type: Package
Title: Cancer Dependency Map Data Package
Version: 1.19.1
Authors@R: c(person(given = "Laurent", family = "Gatto",
email = "laurent.gatto@uclouvain.be",
comment = c(ORCID = "0000-0002-1520-2268"),
role = c("cre", "aut")),
person(given = "Theo", family = "Killian",
role = "aut"),
person(given = "Alexander", family = "Peltzer", role = "ctb",
comment = c(ORCID = "0000-0002-6503-2180")))
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. The 19Q3 release adds the drug_dependency dataset, that contains
cancer cell line dependency data with respect to drug and drug-candidate
compounds. The 20Q2 release adds the proteomic dataset that contains
quantitative profiling of proteins via mass spectrometry. 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
Imports:
utils,
ExperimentHub,
AnnotationHub,
BiocFileCache,
httr2,
curl,
tibble
License: Artistic-2.0
Encoding: UTF-8
Suggests:
knitr,
rmarkdown,
BiocStyle,
viridis,
gridExtra,
ggplot2,
readr,
stringr,
tidyverse,
magick
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
BugReports: https://github.com/UCLouvain-CBIO/depmap/issues
URL: https://UCLouvain-CBIO.github.io/depmap
RoxygenNote: 7.3.1