 
  
 
   
   This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see hca.
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")):
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.
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 | 
| Reference Manual | ||
| Text | NEWS | |
| Text | LICENSE | 
| 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 | 
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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