To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("monocle")

In most cases, you don't need to download the package archive at all.

monocle

Analysis tools for single-cell expression experiments.

Bioconductor version: 3.1

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, enter citation("monocle")):

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("monocle")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("monocle")

 

PDF R Script Monocle: Differential expression and time-series analysis for single-cell RNA-Seq and qPCR experiments.
PDF   Reference Manual
Text   README
Text   NEWS

Details

biocViews Clustering, DataImport, DataRepresentation, DifferentialExpression, GeneExpression, Infrastructure, MultipleComparison, QualityControl, RNASeq, Sequencing, Software, Visualization
Version 1.2.0
In Bioconductor since BioC 3.0 (R-3.1) (1 year)
License Artistic-2.0
Depends R (>= 2.7.0), HSMMSingleCell(>= 0.101.5), Biobase, ggplot2 (>= 0.9.3.1), splines, VGAM (>= 0.9-5), igraph (>= 0.7.0), plyr
Imports BiocGenerics, cluster, combinat, fastICA, grid, irlba, matrixStats, methods, parallel, reshape2, stats, utils, limma
LinkingTo
Suggests knitr, Hmisc
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me sincell
Build Report  

Package Archives

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

Package Source monocle_1.2.0.tar.gz
Windows Binary monocle_1.2.0.zip
Mac OS X 10.6 (Snow Leopard) monocle_1.2.0.tgz
Mac OS X 10.9 (Mavericks) monocle_1.2.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/monocle/tree/release-3.1
Package Short Url http://bioconductor.org/packages/monocle/
Package Downloads Report Download Stats

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