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depmap

This is thedevelopment version of depmap; for the stable release version, seedepmap.

Cancer Dependency Map Data Package

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DOI: 10.18129/B9.bioc.depmap


Bioconductor version: Development (3.23)

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)).

Author: Laurent Gatto [cre, aut]ORCID iD ORCID: 0000-0002-1520-2268, Theo Killian [aut], Alexander Peltzer [ctb]ORCID iD ORCID: 0000-0002-6503-2180

Maintainer: Laurent Gatto <laurent.gatto at uclouvain.be>

Citation (from within R, entercitation("depmap")):

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")# The following initializes usage of Bioc develBiocManager::install(version='devel')BiocManager::install("depmap")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("depmap")
depmapHTMLR Script
depmap use casesHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsAssayDomainData,BreastCancerData,CancerData,CellCulture,ColonCancerData,CopyNumberVariationData,DiseaseModel,ExperimentData,ExperimentHub,Genome,Homo_sapiens_Data,KidneyCancerData,LeukemiaCancerData,LungCancerData,OrganismData,OvarianCancerData,PackageTypeData,ProstateCancerData,Proteome,RepositoryData,ReproducibleResearch,SpecimenSource,StemCell,Tissue
Version1.25.0
LicenseArtistic-2.0
DependsR (>= 4.1.0), methods,dplyr
Importsutils,ExperimentHub,AnnotationHub,BiocFileCache,httr2,curl,tibble
System Requirements
URL
See More
Suggestsknitr,rmarkdown,BiocStyle,viridis,gridExtra,ggplot2,readr,stringr,tidyverse,magick
Linking To
Enhances
Depends On Me
Imports MeCBNplot,DeepTarget
Suggests MemastR,BioPlex
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source Packagedepmap_1.25.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/depmap
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/depmap
Package Short Urlhttps://bioconductor.org/packages/depmap/
Package Downloads ReportDownload Stats

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