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SEraster

This is the development version of SEraster; to use it, please install the devel version of Bioconductor.

Rasterization Preprocessing Framework for Scalable Spatial Omics Data Analysis


Bioconductor version: Development (3.21)

SEraster is a rasterization preprocessing framework that aggregates cellular information into spatial pixels to reduce resource requirements for spatial omics data analysis. SEraster reduces the number of spatial points in spatial omics datasets for downstream analysis through a process of rasterization where single cells’ gene expression or cell-type labels are aggregated into equally sized pixels based on a user-defined resolution. SEraster is built on an R/Bioconductor S4 class called SpatialExperiment. SEraster can be incorporated with other packages to conduct downstream analyses for spatial omics datasets, such as detecting spatially variable genes.

Author: Gohta Aihara [aut, cre] ORCID iD ORCID: 0000-0002-2492-9610 , Mayling Chen [aut] ORCID iD ORCID: 0009-0009-0961-6665 , Lyla Atta [aut] ORCID iD ORCID: 0000-0002-6113-0082 , Jean Fan [aut, rev] ORCID iD ORCID: 0000-0002-0212-5451

Maintainer: Gohta Aihara <gohta.aihara at gmail.com>

Citation (from within R, enter citation("SEraster")):

Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("SEraster")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("SEraster")
Getting Started With SEraster HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews GeneExpression, Preprocessing, SingleCell, Software, Spatial, Transcriptomics
Version 0.99.5
In Bioconductor since BioC 3.21 (R-4.5)
License GPL-3
Depends R (>= 4.5.0)
Imports BiocParallel, ggplot2, Matrix, methods, rearrr, sf, SpatialExperiment, SummarizedExperiment
System Requirements
URL https://github.com/JEFworks-Lab/SEraster
Bug Reports https://github.com/JEFworks-Lab/SEraster/issues
See More
Suggests CooccurrenceAffinity, nnSVG, testthat (>= 3.0.0), knitr, rmarkdown, BiocManager, remotes
Linking To
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Depends On Me
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Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package SEraster_0.99.5.tar.gz
Windows Binary (x86_64) SEraster_0.99.5.zip
macOS Binary (x86_64) SEraster_0.99.5.tgz
macOS Binary (arm64) SEraster_0.99.5.tgz
Source Repository git clone https://git.bioconductor.org/packages/SEraster
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/SEraster
Bioc Package Browser https://code.bioconductor.org/browse/SEraster/
Package Short Url https://bioconductor.org/packages/SEraster/
Package Downloads Report Download Stats