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SingleCellAlleleExperiment

S4 Class for Single Cell Data with Allele and Functional Levels for Immune Genes

Bioconductor version: 3.23 · Package version: 1.8.0

Defines a S4 class that is based on SingleCellExperiment. In addition to the usual gene layer the object can also store data for immune genes such as HLAs, Igs and KIRs at allele and functional level. The package is part of a workflow named single-cell ImmunoGenomic Diversity (scIGD), that firstly incorporates allele-aware quantification data for immune genes. This new data can then be used with the here implemented data structure and functionalities for further data handling and data analysis.

Installation

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

BiocManager::install("SingleCellAlleleExperiment")

Details

MaintainerJonas Schuck <jschuckdev@gmail.com>
AuthorJonas Schuck [aut, cre] (ORCID: <https://orcid.org/0009-0003-5705-4579>), Ahmad Al Ajami [aut] (ORCID: <https://orcid.org/0009-0006-5615-7447>), Federico Marini [aut] (ORCID: <https://orcid.org/0000-0003-3252-7758>), Katharina Imkeller [aut] (ORCID: <https://orcid.org/0000-0002-5177-0852>)
LicenseMIT + file LICENSE
URLhttps://github.com/AGImkeller/SingleCellAlleleExperiment
Bug Reportshttps://github.com/AGImkeller/SingleCellAlleleExperiment/issues
Downloads rank200
Source branchRELEASE_3_23
biocViewsDataImport, DataRepresentation, GeneExpression, Genetics, ImmunoOncology, Infrastructure, SingleCell, Software, Transcriptomics

Documentation

Download

Dependencies

Depends: R (>= 4.4.0), SingleCellExperiment

Imports: SummarizedExperiment, BiocParallel, DelayedArray, methods, utils, Matrix, S4Vectors, stats

Suggests: scaeData, knitr, rmarkdown, BiocStyle, scran, scater, scuttle, ggplot2, patchwork, org.Hs.eg.db, AnnotationDbi, DropletUtils, testthat (>= 3.0.0)

Reverse dependencies

Suggests Me (1): scaeData