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scPipe

This is thereleased version of scPipe; for the devel version, seescPipe.

Pipeline for single cell multi-omic data pre-processing

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DOI: 10.18129/B9.bioc.scPipe


Bioconductor version: Release (3.22)

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, entercitation("scPipe")):

Installation

To install this package, start R (version "4.5") and enter:

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

For older versions of R, please refer to the appropriateBioconductor 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 dataHTMLR Script
scPipe: a flexible data preprocessing pipeline for scATAC-seq dataHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDataImport,GeneExpression,GenomeAnnotation,ImmunoOncology,Preprocessing,QualityControl,RNASeq,SequenceMatching,Sequencing,SingleCell,Software,Visualization
Version2.10.0
In Bioconductor sinceBioC 3.6 (R-3.4) (8 years)
LicenseGPL (>= 2)
DependsR (>= 4.2.0),SingleCellExperiment
ImportsAnnotationDbi,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 RequirementsC++11, GNU make
URLhttps://github.com/LuyiTian/scPipe
Bug Reportshttps://github.com/LuyiTian/scPipe
See More
SuggestsBiocStyle,DT,GenomicFeatures, grid,igraph,kableExtra,knitr,locStra,plotly,rmarkdown,RColorBrewer,readr,reshape2,RANN,shiny,scater(>= 1.11.0),testthat,xml2,umap
Linking ToRcpp,Rhtslib(>= 1.13.1),testthat
Enhances
Depends On Me
Imports MestPipe
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagescPipe_2.10.0.tar.gz
Windows Binary (x86_64) scPipe_2.10.0.zip (64-bit only)
macOS Binary (x86_64)scPipe_2.10.0.tgz
macOS Binary (arm64)scPipe_2.10.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/scPipe
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/scPipe
Bioc Package Browserhttps://code.bioconductor.org/browse/scPipe/
Package Short Urlhttps://bioconductor.org/packages/scPipe/
Package Downloads ReportDownload Stats

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