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demuxSNP

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

scRNAseq demultiplexing using cell hashing and SNPs


Bioconductor version: Development (3.24)

This package assists in demultiplexing scRNAseq data using both cell hashing and SNPs data. The SNP profile of each group os learned using high confidence assignments from the cell hashing data. Cells which cannot be assigned with high confidence from the cell hashing data are assigned to their most similar group based on their SNPs. We also provide some helper function to optimise SNP selection, create training data and merge SNP data into the SingleCellExperiment framework.

Author: Michael Lynch [aut, cre] ORCID iD ORCID: 0000-0001-9535-6461 , Aedin Culhane [aut] ORCID iD ORCID: 0000-0002-1395-9734

Maintainer: Michael Lynch <michael.lynch at ul.ie>

Citation (from within R, enter citation("demuxSNP")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("demuxSNP")

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("demuxSNP")
Supervised Demultiplexing using Cell Hashing and SNPs HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews Classification, SingleCell, Software
Version 1.11.0
In Bioconductor since BioC 3.18 (R-4.3) (3 years)
License GPL-3
Depends R (>= 4.3.0), SingleCellExperiment, VariantAnnotation, ensembldb
Imports MatrixGenerics, BiocGenerics, class, Seqinfo, IRanges, Matrix, SummarizedExperiment, demuxmix, methods, KernelKnn, dplyr
System Requirements
URL https://github.com/michaelplynch/demuxSNP
Bug Reports https://github.com/michaelplynch/demuxSNP/issues
See More
Suggests knitr, rmarkdown, ComplexHeatmap, viridisLite, ggpubr, dittoSeq, EnsDb.Hsapiens.v86, BiocStyle, RefManageR, testthat (>= 3.0.0), Seurat
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Package Archives

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

Source Package demuxSNP_1.11.0.tar.gz
Windows Binary (x86_64) demuxSNP_1.11.0.zip
macOS Binary (big-sur-x86_64) demuxSNP_1.11.0.tgz
macOS Binary (sonoma-arm64) demuxSNP_1.11.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/demuxSNP
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/demuxSNP
Bioc Package Browser https://code.bioconductor.org/browse/demuxSNP/
Package Short Url https://bioconductor.org/packages/demuxSNP/
Package Downloads Report Download Stats