monocle: Clustering, differential expression, and trajectory analysis for single- cell RNA-Seq
Version 2.4.0

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.

Getting started

Package details

AuthorCole Trapnell
Bioconductor views Clustering DataImport DataRepresentation DifferentialExpression GeneExpression Infrastructure MultipleComparison QualityControl RNASeq Sequencing Visualization
MaintainerCole Trapnell <coletrap@uw.edu>
LicenseArtistic-2.0
Version2.4.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("monocle")

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monocle documentation built on May 20, 2017, 9:26 p.m.