Package: cellxgenedp 1.16.0

Martin Morgan

cellxgenedp: Discover and Access Single Cell Data Sets in the CELLxGENE Data Portal

The cellxgene data portal (https://cellxgene.cziscience.com/) provides a graphical user interface to collections of single-cell sequence data processed in standard ways to 'count matrix' summaries. The cellxgenedp package provides an alternative, R-based inteface, allowind data discovery, viewing, and downloading.

Authors:Martin Morgan [aut, cre], Kayla Interdonato [aut]

cellxgenedp_1.16.0.tar.gz
cellxgenedp_1.16.0.zip(r-4.7-any)cellxgenedp_1.16.0.zip(r-4.6-any)cellxgenedp_1.16.0.zip(r-4.5-any)
cellxgenedp_1.16.0.tgz(r-4.6-any)cellxgenedp_1.16.0.tgz(r-4.5-any)
cellxgenedp_1.16.0.tar.gz(r-4.7-any)cellxgenedp_1.16.0.tar.gz(r-4.6-any)
cellxgenedp_1.16.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
cellxgenedp/json (API)

# Install 'cellxgenedp' in R:
install.packages('cellxgenedp', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mtmorgan/cellxgenedp/issues

Pkgdown/docs site:https://mtmorgan.github.io

On BioConductor:cellxgenedp-1.17.1(bioc 3.24)cellxgenedp-1.16.0(bioc 3.23)

singlecelldataimportthirdpartyclient

6.71 score 9 stars 48 scripts 372 downloads 13 exports 56 dependencies

Last updated from:11d2cbbf55 (on RELEASE_3_23). Checks:1 ERROR, 9 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksERROR184
linux-devel-x86_64OK369
source / vignettesOK354
linux-release-x86_64OK375
macos-release-arm64OK194
macos-oldrel-arm64OK233
windows-develOK251
windows-releaseOK253
windows-oldrelOK288
wasm-releaseOK142

Exports:authorscollectionscxgdatasetsdatasets_visualizedbfacetsFACETSfacets_filterfilesfiles_downloadlinkspublisher_metadata

Dependencies:askpassbase64encbslibcachemclicommonmarkcpp11crosstalkcurldigestdplyrDTevaluatefastmapfontawesomefsgenericsgluehighrhtmltoolshtmlwidgetshttpuvhttrjquerylibjsonliteknitrlaterlazyevallifecyclemagrittrmemoisemimeopensslotelpillarpkgconfigpromisesR6rappdirsRcpprjsonconsrlangrmarkdownsassshinysourcetoolssystibbletidyselecttinytexutf8vctrswithrxfunxtableyaml

Case studies
Setup | Case study: authors & datasets | Challenge and solution | Areas of interest | Collaboration | Duplicate collection-author combinations | What is an 'author'? | Case study: using ontology to identify datasets | Session information
Rendered fromb_case_studies.Rmdusingknitr::rmarkdown

Last update: 2024-01-18
Started: 2024-01-17

Discovery and retrieval
Installation and use | cxg() Provides a 'shiny' interface | Collections, datasets and files | Using dplyr to navigate data | facets() provides information on 'levels' present in specific columns | Filtering faceted columns | Publication and other external data | Visualizing data in cellxgene | File download and use | Next steps | API changes | Session info
Rendered froma_using_cellxgenedp.Rmdusingknitr::rmarkdown

Last update: 2024-01-18
Started: 2024-01-17