Package: cellNexus 0.99.23

Mengyuan Shen

cellNexus: Queries the Human Cell Atlas

Provides access to a copy of the Human Cell Atlas, but with harmonised metadata. This allows for uniform querying across numerous datasets within the Atlas using common fields such as cell type, tissue type, and patient ethnicity. Usage involves first querying the metadata table for cells of interest, and then downloading the corresponding cells into one of several supported formats, including SingleCellExperiment, Seurat, or pseudobulk SummarizedExperiment objects. Note: The Human Cell Atlas data accessed through this package is subject to its own licensing terms (typically Creative Commons Attribution or similar open data licenses as specified by the Human Cell Atlas Data Use Agreement), which differ from the package license (GPL-3). See the package documentation for details.

Authors:Stefano Mangiola [aut, rev, ctb], Mengyuan Shen [aut, cre, rev], Michael Milton [aut, rev, ctb], Jared Andrews [aut, rev, ctb], Juan Henao [aut, ctb], Edward Yang [aut, ctb], Julie Iskander [rev], Silicon Valley Foundation CZF2019-002443 [fnd], NIH NHGRI 5U24HG004059-18 [fnd], Victoria Cancer Agency ECRF21036 [fnd], NHMRC 1116955 [fnd]

cellNexus_0.99.23.tar.gz
cellNexus_0.99.23.zip(r-4.7)cellNexus_0.99.23.zip(r-4.6)cellNexus_0.99.23.zip(r-4.5)
cellNexus_0.99.23.tgz(r-4.6-any)cellNexus_0.99.23.tgz(r-4.5-any)
cellNexus_0.99.23.tar.gz(r-4.7-any)cellNexus_0.99.23.tar.gz(r-4.6-any)
cellNexus_0.99.23.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
cellNexus/json (API)

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

Bug tracker:https://github.com/mangiolalaboratory/cellnexus/issues

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

Datasets:
  • pbmc3k_sce - Sample SingleCellExperiment Object
  • ui_choices - Pre-computed UI Choices for Interface App

On CRAN:

Conda:

assaydomaininfrastructuresinglecellrnaseqdifferentialexpressiongeneexpressionnormalizationclusteringqualitycontrolsequencingtranscriptiontranscriptomicsshinyappshcaquality-controlrna-seqtidyomicstidyverse

6.84 score 5 stars 73 scripts 15 exports 174 dependencies

Last updated from:d7f0137d1c. Checks:1 WARNING, 9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksWARNING212
linux-devel-x86_64OK539
source / vignettesOK332
linux-release-x86_64OK558
macos-release-arm64OK320
macos-oldrel-arm64OK447
windows-develOK440
windows-releaseOK484
windows-oldrelOK417
wasm-releaseOK193

Exports:create_interface_appget_atlas_versionsget_cell_communication_strengthget_counts_per_millionget_default_cache_dirget_metadataget_metadata_urlget_pseudobulkget_seuratget_single_cell_experimentget_SingleCellExperimentjoin_census_tablekeep_quality_cellsorganize_inputsSAMPLE_DATABASE_URL

Dependencies:abindanndataRaskpassbackportsbase64encbasiliskBHBiobaseBiocGenericsbiocmakebitopsblobbslibcachemcaToolscheckmatecliclustercodetoolscommonmarkcowplotcpp11crosstalkcurldata.tableDBIdbplyrDelayedArraydeldirdigestdir.expirydotCall64dplyrdqrngduckdbevaluatefarverfastDummiesfastmapfilelockfitdistrplusFNNfontawesomefsfuturefuture.applygenericsGenomicRangesggplot2ggrepelggridgesglobalsgluegoftestgplotsgridExtragtablegtoolsh5mreadHDF5ArrayherehighrhtmltoolshtmlwidgetshttpuvhttricaigraphIRangesirlbaisobandjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevallifecyclelistenvlmtestmagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemimeminiUInlmeopensslotelparallellypatchworkpbapplypillarpkgconfigplotlyplyrpngpolyclipprogressrpromisespurrrR6RANNrappdirsrclipboardRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppHNSWRcppProgressRcppTOMLreshape2reticulaterhdf5rhdf5filtersRhdf5librlangrmarkdownROCRrprojrootRSpectraRtsneS4ArraysS4VectorsS7sassscalesscattermoresctransformSeqinfoSeuratSeuratObjectshinyshinyWidgetsSingleCellExperimentsitmosourcetoolsspspamSparseArrayspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrSummarizedExperimentsurvivalsystensortibbletidyrtidyselecttinytexutf8uwotvctrsviridisLitewithrxfunxtableXVectoryamlzellkonverterzoo

cellNexus
Introduction | Query interface | Installation | Load the package | Load additional packages | Load and explore the metadata | Load the metadata | Explore the tissue | Quality control | Download single-cell RNA sequencing counts | Query raw counts | Query counts scaled per million | Query SCT normalised counts | Query pseudobulk | Download cell communication metadata | Extract only a subset of genes | Extract the counts as a Seurat object | Save your SingleCellExperiment | Saving as RDS (fast saving, slow reading) | Saving as HDF5 (slow saving, fast reading) | Saving as H5AD (slow saving, fast reading) | Visualise gene transcription | Integrate cloud and local metadata | Cell metadata | RNA abundance | Other representations | Session Info

Last update: 2026-05-26
Started: 2025-11-12

Gene Expression Explore
Overview | Choose cells through metadata filters | Retrieve expression by representation | Single-cell counts | Counts per million | Pseudobulk | Targeted gene queries | Seurat | Portable output examples | Interpretation notes

Last update: 2026-05-26
Started: 2026-02-19

Metadata Explore
Why this page exists | Data-processing context | Metadata dictionary | Practical exploration

Last update: 2026-05-26
Started: 2026-02-19