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scPipe

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

Pipeline for single cell multi-omic data pre-processing


Bioconductor version: Development (3.24)

A preprocessing pipeline for single cell RNA-seq/ATAC-seq data that starts from the fastq files and produces a feature count matrix with associated quality control information. It can process fastq data generated by CEL-seq, MARS-seq, Drop-seq, Chromium 10x and SMART-seq protocols.

Author: Luyi Tian [aut], Shian Su [aut, cre], Shalin Naik [ctb], Shani Amarasinghe [aut], Oliver Voogd [aut], Phil Yang [aut], Matthew Ritchie [ctb]

Maintainer: Shian Su <su.s at wehi.edu.au>

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

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("scPipe")
scPipe: a flexible data preprocessing pipeline for 3' end scRNA-seq data HTML R Script
scPipe: a flexible data preprocessing pipeline for scATAC-seq data HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews DataImport, GeneExpression, GenomeAnnotation, ImmunoOncology, Preprocessing, QualityControl, RNASeq, SequenceMatching, Sequencing, SingleCell, Software, Visualization
Version 2.13.1
In Bioconductor since BioC 3.6 (R-3.4) (9 years)
License GPL (>= 2)
Depends R (>= 4.2.0), SingleCellExperiment
Imports AnnotationDbi, basilisk, BiocGenerics, biomaRt, Biostrings, data.table, dplyr, DropletUtils, flexmix, GenomicRanges, GenomicAlignments, GGally, ggplot2, glue (>= 1.3.0), grDevices, graphics, hash, IRanges, magrittr, MASS, Matrix (>= 1.5.0), mclust, methods, MultiAssayExperiment, org.Hs.eg.db, org.Mm.eg.db, purrr, Rcpp (>= 0.11.3), reshape, reticulate, Rhtslib, rlang, robustbase, Rsamtools, Rsubread, rtracklayer, SummarizedExperiment, S4Vectors, scales, stats, stringr, tibble, tidyr, tools, utils, vctrs (>= 0.5.2)
System Requirements C++11, GNU make
URL https://github.com/LuyiTian/scPipe
Bug Reports https://github.com/LuyiTian/scPipe
See More
Suggests BiocStyle, DT, GenomicFeatures, grid, igraph, kableExtra, knitr, locStra, plotly, rmarkdown, RColorBrewer, readr, reshape2, RANN, shiny, scater(>= 1.11.0), testthat, xml2, umap
Linking To Rcpp, Rhtslib(>= 1.13.1), testthat
Enhances
Depends On Me
Imports Me stPipe
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package scPipe_2.13.1.tar.gz
Windows Binary (x86_64) scPipe_2.13.1.zip (64-bit only)
macOS Binary (big-sur-x86_64) scPipe_2.13.1.tgz
macOS Binary (sonoma-arm64) scPipe_2.13.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/scPipe
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/scPipe
Bioc Package Browser https://code.bioconductor.org/browse/scPipe/
Package Short Url https://bioconductor.org/packages/scPipe/
Package Downloads Report Download Stats