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MoleculeExperiment

Prioritising a molecule-level storage of Spatial Transcriptomics Data

Bioconductor version: 3.23 · Package version: 1.12.0

MoleculeExperiment contains functions to create and work with objects from the new MoleculeExperiment class. We introduce this class for analysing molecule-based spatial transcriptomics data (e.g., Xenium by 10X, Cosmx SMI by Nanostring, and Merscope by Vizgen). This allows researchers to analyse spatial transcriptomics data at the molecule level, and to have standardised data formats accross vendors.

Installation

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

BiocManager::install("MoleculeExperiment")

Details

MaintainerShila Ghazanfar <shazanfar@gmail.com>
AuthorBárbara Zita Peters Couto [aut], Nicholas Robertson [aut], Ellis Patrick [aut], Shila Ghazanfar [aut, cre]
LicenseMIT + file LICENSE
URLhttps://github.com/SydneyBioX/MoleculeExperiment
Bug Reportshttps://github.com/SydneyBioX/MoleculeExperiment/issues
Downloads rank331
Source branchRELEASE_3_23
biocViewsDataImport, DataRepresentation, Infrastructure, Software, Spatial, Transcriptomics

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageMoleculeExperiment_1.12.0.tar.gz
Windows binary (x86_64)MoleculeExperiment_1.12.0.zip
macOS binary (arm64)MoleculeExperiment_1.12.0.tgz
macOS binary (x86_64)MoleculeExperiment_1.12.0.tgz
Dependencies

Depends: R (>= 4.1.0)

Imports: SpatialExperiment, Matrix, purrr, data.table, dplyr (>= 1.1.1), magrittr, rjson, utils, methods, terra, ggplot2, rlang, cli, EBImage, rhdf5, BiocParallel, S4Vectors, stats

Suggests: knitr, BiocStyle, testthat (>= 3.0.0)