MuData
Serialization for MultiAssayExperiment Objects
Bioconductor version: 3.24 · Package version: 1.17.0
Save MultiAssayExperiments to h5mu files supported by muon and mudata. Muon is a Python framework for multimodal omics data analysis. It uses an HDF5-based format for data storage.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("MuData") Details
| Maintainer | Ilia Kats <i.kats@dkfz-heidelberg.de> |
| Author | Danila Bredikhin [aut] (ORCID: <https://orcid.org/0000-0001-8089-6983>), Ilia Kats [aut, cre] (ORCID: <https://orcid.org/0000-0001-5220-5671>) |
| License | GPL-3 |
| URL | https://github.com/ilia-kats/MuData |
| Bug Reports | https://github.com/ilia-kats/MuData/issues |
| Downloads rank | 421 |
| Source branch | devel |
| biocViews | DataImport, Software |
Documentation
- CITE-seq data with CiteFuse and MuData
- CITE-seq data with MultiAssayExperiment and MuData
- Getting started with MuData for MultiAssayExperiment
Download
Follow the installation instructions to use this package in your R session.
| Source package | MuData_1.17.0.tar.gz |
| Windows binary (x86_64) | MuData_1.17.0.zip |
| macOS binary (arm64) | MuData_1.17.0.tgz |
| macOS binary (x86_64) | MuData_1.17.0.tgz |
Dependencies
Depends: Matrix, S4Vectors, rhdf5 (>= 2.45)
Imports: methods, stats, MultiAssayExperiment, SingleCellExperiment, SummarizedExperiment, DelayedArray, S4Vectors
Suggests: HDF5Array, rmarkdown, knitr, fs, testthat, BiocStyle, covr, SingleCellMultiModal, CiteFuse, scater