monocle
Clustering, differential expression, and trajectory analysis for single- cell RNA-Seq
Bioconductor version: 3.23 · Package version: 2.40.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("monocle") Details
| Maintainer | Cole Trapnell <coletrap@uw.edu> |
| Author | Cole Trapnell |
| License | Artistic-2.0 |
| Downloads rank | 3978 |
| Source branch | RELEASE_3_23 |
| biocViews | Clustering, DataImport, DataRepresentation, DifferentialExpression, GeneExpression, ImmunoOncology, Infrastructure, MultipleComparison, QualityControl, RNASeq, Sequencing, Software, Visualization |
Documentation
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Dependencies
Depends: R (>= 2.10.0), methods, Matrix (>= 1.2-6), Biobase, ggplot2 (>= 1.0.0), VGAM (>= 1.0-6), DDRTree (>= 0.1.4)
Imports: parallel, 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)
LinkingTo: Rcpp
Reverse dependencies
Depends On Me (1): cicero
Imports Me (1): uSORT
Suggests Me (3): ClusterGVis, Seurat, sincell