hpar
Human Protein Atlas in R
Bioconductor version: Release (3.20)
The hpar package provides a simple R interface to and data from the Human Protein Atlas project.
Author: Laurent Gatto [cre, aut] , Manon Martin [aut]
Maintainer: Laurent Gatto <laurent.gatto at uclouvain.be>
Citation (from within R, enter
citation("hpar")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("hpar")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("hpar")
Human Protein Atlas in R | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | CellBiology, DataImport, ExperimentHubSoftware, FunctionalGenomics, Proteomics, Software, SystemsBiology |
Version | 1.48.0 |
In Bioconductor since | BioC 2.11 (R-2.15) (12 years) |
License | Artistic-2.0 |
Depends | R (>= 3.5.0) |
Imports | utils, ExperimentHub |
System Requirements | |
URL |
See More
Suggests | org.Hs.eg.db, GO.db, AnnotationDbi, knitr, BiocStyle, testthat, rmarkdown, dplyr, DT |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | MetaboSignal |
Suggests Me | pRoloc, RforProteomics |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | hpar_1.48.0.tar.gz |
Windows Binary (x86_64) | hpar_1.48.0.zip (64-bit only) |
macOS Binary (x86_64) | hpar_1.48.0.tgz |
macOS Binary (arm64) | hpar_1.48.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/hpar |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/hpar |
Bioc Package Browser | https://code.bioconductor.org/browse/hpar/ |
Package Short Url | https://bioconductor.org/packages/hpar/ |
Package Downloads Report | Download Stats |