Title: | OSTA book data |
---|---|
Description: | 'OSTA.data' is a companion package for the "Orchestrating Spatial Transcriptomics Analysis" (OSTA) with Bioconductor online book. Throughout OSTA, we rely on a set of publicly available datasets that cover different sequencing- and imaging-based platforms, such as Visium, Visium HD, Xenium (10x Genomics) and CosMx (NanoString). In addition, we rely on scRNA-seq (Chromium) data for tasks, e.g., spot deconvolution and label transfer (i.e., supervised clustering). These data been deposited in an Open Storage Framework (OSF) repository, and can be queried and downloaded using functions from the 'osfr' package. For convenience, we have implemented 'OSTA.data' to query and retrieve data from our OSF node, and cache retrieved Zip archives using 'BiocFileCache'. |
Authors: | Yixing E. Dong [aut, cre] |
Maintainer: | Yixing E. Dong <[email protected]> |
License: | Artistic-2.0 |
Version: | 0.99.2 |
Built: | 2025-03-12 13:35:09 UTC |
Source: | https://github.com/bioc/OSTA.data |
Datasets used in OSTA
OSTA.data_list(url = "https://osf.io/5n4q3") OSTA.data_load( id, bfc = BiocFileCache(), url = "https://osf.io/5n4q3", pol = TRUE, mol = TRUE )
OSTA.data_list(url = "https://osf.io/5n4q3") OSTA.data_load( id, bfc = BiocFileCache(), url = "https://osf.io/5n4q3", pol = TRUE, mol = TRUE )
url |
character string; an OSF identifier
(passed to |
id |
character string; dataset identifier
(see |
bfc |
|
pol , mol
|
logical scalar; specifies whether or not to retrieve boundaries and molecules, respectively |
The following datasets are currently available:
Janesick et al.: Visium, Visium HD, Xenium and Chromium data on human colorectal cancer; source: 10x Genomics
Oliveira et al.: Visium, Xenium and Chromium data on human breast cancer; source: GSE243280
1k-plex CosMx data on 2 mouse brain sections (coronal hippocampus and cortex, coronal hemisphere) source: NanoString
6k-plex CosMx data on human brain (frontal cortex); source: NanoString
OSTA.data_list
returns a character vector of
currently available datasets
OSTA.data_load
return a character string;
the path to a Zip archive
Oliveira et al. Characterization of immune cell populations in the tumor microenvironment of colorectal cancer using high definition spatial profiling. bioRxiv 2024.06.04.597233 (2024).
Janesick et al. High resolution mapping of the tumor microenvironment using integrated single-cell, spatial and in situ analysis. Nature Communications 14:8353 (2023).
# view available datasets OSTA.data_list() # retrieve 10x Xenium data from Oliveira et al. id <- "Xenium_HumanColon_Oliveira" pa <- OSTA.data_load(id) # unpack & view contents td <- tempfile() dir.create(td) unzip(pa, exdir=td) list.files(td) # read into 'SpatialExperiment' library(SpatialExperimentIO) (spe <- readXeniumSXE(td))
# view available datasets OSTA.data_list() # retrieve 10x Xenium data from Oliveira et al. id <- "Xenium_HumanColon_Oliveira" pa <- OSTA.data_load(id) # unpack & view contents td <- tempfile() dir.create(td) unzip(pa, exdir=td) list.files(td) # read into 'SpatialExperiment' library(SpatialExperimentIO) (spe <- readXeniumSXE(td))