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
| Maintainer | Jonas Schuck <jschuckdev@gmail.com> |
| Author | Jonas 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>) |
| License | MIT + file LICENSE |
| URL | https://github.com/AGImkeller/SingleCellAlleleExperiment |
| Bug Reports | https://github.com/AGImkeller/SingleCellAlleleExperiment/issues |
| Downloads rank | 200 |
| Source branch | RELEASE_3_23 |
| biocViews | DataImport, DataRepresentation, GeneExpression, Genetics, ImmunoOncology, Infrastructure, SingleCell, Software, Transcriptomics |
Documentation
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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