hca
This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see hca.
Exploring the Human Cell Atlas Data Coordinating Platform
Bioconductor version: 3.16
This package provides users with the ability to query the Human Cell Atlas data repository for single-cell experiment data. The `projects()`, `files()`, `samples()` and `bundles()` functions retrieve summary information on each of these indexes; corresponding `*_details()` are available for individual entries of each index. File-based resources can be downloaded using `files_download()`. Advanced use of the package allows the user to page through large result sets, and to flexibly query the 'list-of-lists' structure representing query responses.
Author: Maya McDaniel [aut], Martin Morgan [aut, cre]
Maintainer: Martin Morgan <martin.morgan at roswellpark.org>
citation("hca")
):
Installation
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("hca")
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("hca")
Accessing Human Cell Atlas Data | HTML | R Script |
Working With Human Cell Atlas Manifests | HTML | R Script |
Reference Manual | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | SingleCell, Software |
Version | 1.6.0 |
In Bioconductor since | BioC 3.13 (R-4.1) (3 years) |
License | MIT + file LICENSE |
Depends | R (>= 4.1) |
Imports | httr, jsonlite, dplyr, tibble, tidyr, readr, BiocFileCache, tools, utils, digest, shiny, miniUI, DT |
System Requirements | |
URL |
See More
Suggests | LoomExperiment, SummarizedExperiment, SingleCellExperiment, S4Vectors, methods, testthat (>= 3.0.0), knitr, rmarkdown, BiocStyle |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | hca_1.6.0.tar.gz |
Windows Binary | hca_1.6.0.zip (64-bit only) |
macOS Binary (x86_64) | hca_1.6.0.tgz |
macOS Binary (arm64) | hca_1.6.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/hca |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/hca |
Bioc Package Browser | https://code.bioconductor.org/browse/hca/ |
Package Short Url | https://bioconductor.org/packages/hca/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.16 | Source Archive |