hca

DOI: 10.18129/B9.bioc.hca    

This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see hca.

Exploring the Human Cell Atlas Data Coordinating Platform

Bioconductor version: 3.15

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 (from within R, enter 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")

 

HTML R Script Accessing Human Cell Atlas Data
HTML R Script Working With Human Cell Atlas Manifests
PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews SingleCell, Software
Version 1.4.3
In Bioconductor since BioC 3.13 (R-4.1) (1.5 years)
License MIT + file LICENSE
Depends R (>= 4.1)
Imports httr, jsonlite, dplyr, tibble, tidyr, readr, BiocFileCache, tools, utils, digest
LinkingTo
Suggests futile.logger, LoomExperiment, SummarizedExperiment, SingleCellExperiment, S4Vectors, methods, testthat (>= 3.0.0), knitr, rmarkdown, BiocStyle
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package hca_1.4.3.tar.gz
Windows Binary hca_1.4.3.zip (64-bit only)
macOS Binary (x86_64) hca_1.4.3.tgz
Source Repository git clone https://git.bioconductor.org/packages/hca
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/hca
Package Short Url https://bioconductor.org/packages/hca/
Package Downloads Report Download Stats

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