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monocle

This is thereleased version of monocle; for the devel version, seemonocle.

Clustering, differential expression, and trajectory analysis for single- cell RNA-Seq

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DOI: 10.18129/B9.bioc.monocle


Bioconductor version: Release (3.22)

Monocle performs differential expression and time-series analysis for single-cell expression experiments. It orders individual cells according to progress through a biological process, without knowing ahead of time which genes define progress through that process. Monocle also performs differential expression analysis, clustering, visualization, and other useful tasks on single cell expression data. It is designed to work with RNA-Seq and qPCR data, but could be used with other types as well.

Author: Cole Trapnell

Maintainer: Cole Trapnell <coletrap at uw.edu>

Citation (from within R, entercitation("monocle")):

Installation

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

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

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("monocle")
Monocle: Cell counting, differential expression, and trajectory analysis for single-cell RNA-Seq experimentsPDFR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsClustering,DataImport,DataRepresentation,DifferentialExpression,GeneExpression,ImmunoOncology,Infrastructure,MultipleComparison,QualityControl,RNASeq,Sequencing,Software,Visualization
Version2.38.0
In Bioconductor sinceBioC 3.0 (R-3.1) (11 years)
LicenseArtistic-2.0
DependsR (>= 2.10.0), methods,Matrix (>= 1.2-6),Biobase,ggplot2 (>= 1.0.0),VGAM (>= 1.0-6),DDRTree (>= 0.1.4)
Importsparallel,igraph (>= 1.0.1),BiocGenerics,HSMMSingleCell(>= 0.101.5),plyr,cluster,combinat,fastICA, grid,irlba (>= 2.0.0),matrixStats,Rtsne,MASS,reshape2,leidenbase (>= 0.1.9),limma,tibble,dplyr,pheatmap,stringr,proxy,slam,viridis, stats,biocViews,RANN (>= 2.5),Rcpp (>= 0.12.0)
System Requirements
URL
See More
Suggestsdestiny,Hmisc,knitr,Seurat,scater,testthat
Linking ToRcpp
Enhances
Depends On Mecicero
Imports MeuSORT,scPOEM
Suggests Mesincell,ClusterGVis,grandR,Seurat
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source Packagemonocle_2.38.0.tar.gz
Windows Binary (x86_64) monocle_2.38.0.zip
macOS Binary (x86_64)monocle_2.38.0.tgz
macOS Binary (arm64)monocle_2.38.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/monocle
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/monocle
Bioc Package Browserhttps://code.bioconductor.org/browse/monocle/
Package Short Urlhttps://bioconductor.org/packages/monocle/
Package Downloads ReportDownload Stats

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