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decontX

This is the released version of decontX; for the devel version, see decontX.

Decontamination of single cell genomics data


Bioconductor version: Release (3.23)

This package contains implementation of DecontX (Yang et al. 2020), a decontamination algorithm for single-cell RNA-seq, and DecontPro (Yin et al. 2023), a decontamination algorithm for single cell protein expression data. DecontX is a novel Bayesian method to computationally estimate and remove RNA contamination in individual cells without empty droplet information. DecontPro is a Bayesian method that estimates the level of contamination from ambient and background sources in CITE-seq ADT dataset and decontaminate the dataset.

Author: Yuan Yin [aut] ORCID iD ORCID: 0000-0001-9261-6061 , Masanao Yajima [aut] ORCID iD ORCID: 0000-0002-7583-3707 , Joshua Campbell [aut, cre] ORCID iD ORCID: 0000-0003-0780-8662

Maintainer: Joshua Campbell <camp at bu.edu>

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

BiocManager::install("decontX")

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("decontX")
decontPro HTML R Script
Estimate and remove cross-contamination from ambient RNA in single-cell data with DecontX HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Bayesian, SingleCell, Software
Version 1.10.0
In Bioconductor since BioC 3.18 (R-4.3) (3 years)
License MIT + file LICENSE
Depends R (>= 4.3.0)
Imports celda, dbscan, DelayedArray, ggplot2, Matrix (>= 1.5.3), MCMCprecision, methods, patchwork, plyr, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), reshape2, rstan (>= 2.18.1), rstantools (>= 2.2.0), S4Vectors, scater, Seurat, SingleCellExperiment, SummarizedExperiment, withr
System Requirements GNU make
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Suggests BiocStyle, dplyr, knitr, rmarkdown, scran, SingleCellMultiModal, TENxPBMCData, testthat (>= 3.0.0)
Linking To BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
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Package Archives

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

Source Package decontX_1.10.0.tar.gz
Windows Binary (x86_64) decontX_1.10.0.zip
macOS Binary (big-sur-x86_64) decontX_1.10.0.tgz
macOS Binary (sonoma-arm64) decontX_1.10.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/decontX
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/decontX
Bioc Package Browser https://code.bioconductor.org/browse/decontX/
Package Short Url https://bioconductor.org/packages/decontX/
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