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Bioconductor - MoleculeExperiment (development version)

MoleculeExperiment

This is the development version of MoleculeExperiment; for the stable release version, see MoleculeExperiment.

Prioritising a molecule-level storage of Spatial Transcriptomics Data

Bioconductor version: Development (3.22)

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.

Author: Bárbara Zita Peters Couto [aut], Nicholas Robertson [aut], Ellis Patrick [aut], Shila Ghazanfar [aut, cre]

Maintainer: Shila Ghazanfar <shazanfar at gmail.com>

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

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("MoleculeExperiment")
Details biocViews DataImport, DataRepresentation, Infrastructure, Software, Spatial, Transcriptomics Version 1.9.0 In Bioconductor since BioC 3.17 (R-4.3) (2 years) License MIT + file LICENSE 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 System Requirements URL https://github.com/SydneyBioX/MoleculeExperiment Bug Reports https://github.com/SydneyBioX/MoleculeExperiment/issues See More Package Archives

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


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