Package 'TENxVisiumData'

Title: Visium spatial gene expression data by 10X Genomics
Description: Collection of Visium spatial gene expression datasets by 10X Genomics, formatted into objects of class SpatialExperiment. Data cover various organisms and tissues, and include: single- and multi-section experiments, as well as single sections subjected to both whole transcriptome and targeted panel analysis. Datasets may be used for testing of and as examples in packages, for tutorials and workflow demonstrations, or similar purposes.
Authors: Helena L. Crowell [aut, cre] (ORCID: <https://orcid.org/0000-0002-4801-1767>)
Maintainer: Helena L. Crowell <[email protected]>
License: MIT + file LICENSE
Version: 1.20.0
Built: 2026-10-10 11:15:26 UTC
Source: https://github.com/bioc/TENxVisiumData

Help Index


TENxVisiumData

Description

Collection of Visium spatial gene expression datasets by 10X Genomics, formatted into objects of class SpatialExperiment. Data cover various organisms and tissues, and include: single- and multi-section experiments, as well as single sections subjected to both whole transcriptome and targeted panel analysis. Datasets may be used for testing of and as examples in packages, for tutorials and workflow demonstrations, or similar purposes.

Details

The following Visium Spatial Transcriptomics datasets by 10X Genomics are currently available (see the package vignette for links to details):

  • HumanBreastCancerIDC

  • HumanBreastCancerILC

  • HumanCerebellum

  • HumanColorectalCancer

  • HumanGlioblastoma

  • HumanHeart

  • HumanLymphNode

  • HumanOvarianCancer

  • HumanSpinalCord

  • MouseBrainCoronal

  • MouseBrainSagittalPosterior

  • MouseBrainSagittalAnterior

  • MouseKidneyCoronal

Value

a SpatialExperiment with rows corresponding to samples (spots) and columns to features (transcripts). If, in addition to whole transcriptome analysis, the specified dataset contains measurements from targeted panel analysis/es, these will be stored as altExps.

Author(s)

Helena L. Crowell

Examples

# initialize hub instance
eh <- ExperimentHub()

# query for TENxVisium datasets
(q <- query(eh, "TENxVisium"))

# retrieve dataset of interest
pat <- "HumanCerebellum$"
idx <- grep(pat, q$title)
id <- q$ah_id[idx]
(spe <- eh[[id]])

# access targeted panel
altExpNames(spe)
altExp(spe, "TargetedNeuroscience")