- recipe bioconductor-monocle
Clustering, differential expression, and trajectory analysis for single- cell RNA-Seq
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/monocle.html
- License:
Artistic-2.0
- Recipe:
- Links:
biotools: monocle
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.
- package bioconductor-monocle¶
- versions:
2.34.0-0,2.30.0-1,2.30.0-0,2.28.0-0,2.26.0-1,2.26.0-0,2.22.0-2,2.22.0-1,2.22.0-0,2.34.0-0,2.30.0-1,2.30.0-0,2.28.0-0,2.26.0-1,2.26.0-0,2.22.0-2,2.22.0-1,2.22.0-0,2.20.0-0,2.18.0-2,2.18.0-1,2.16.0-0,2.14.0-1,2.12.0-1,2.10.0-0,2.8.0-0,2.6.0-0,2.4.0-0- depends bioconductor-biobase:
>=2.66.0,<2.67.0- depends bioconductor-biobase:
>=2.66.0,<2.67.0a0- depends bioconductor-biocgenerics:
>=0.52.0,<0.53.0- depends bioconductor-biocgenerics:
>=0.52.0,<0.53.0a0- depends bioconductor-biocviews:
>=1.74.0,<1.75.0- depends bioconductor-biocviews:
>=1.74.0,<1.75.0a0- depends bioconductor-hsmmsinglecell:
>=1.26.0,<1.27.0- depends bioconductor-hsmmsinglecell:
>=1.26.0,<1.27.0a0- depends bioconductor-limma:
>=3.62.0,<3.63.0- depends bioconductor-limma:
>=3.62.0,<3.63.0a0- depends libblas:
>=3.9.0,<4.0a0- depends libgcc:
>=13- depends liblapack:
>=3.9.0,<4.0a0- depends libstdcxx:
>=13- depends r-base:
>=4.4,<4.5.0a0- depends r-cluster:
- depends r-combinat:
- depends r-ddrtree:
>=0.1.4- depends r-dplyr:
- depends r-fastica:
- depends r-ggplot2:
>=1.0.0- depends r-igraph:
>=1.0.1- depends r-irlba:
>=2.0.0- depends r-leidenbase:
>=0.1.31,<0.2.0a0- depends r-leidenbase:
>=0.1.9- depends r-mass:
- depends r-matrix:
>=1.2-6- depends r-matrixstats:
- depends r-pheatmap:
- depends r-plyr:
- depends r-proxy:
- depends r-rann:
>=2.5- depends r-rcpp:
>=0.12.0- depends r-reshape2:
- depends r-rtsne:
- depends r-slam:
- depends r-stringr:
- depends r-tibble:
- depends r-vgam:
>=1.0-6- depends r-viridis:
- requirements:
- additional platforms:
linux-aarch64
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-monocle and update with:: mamba update bioconductor-monocle
To create a new environment, run:
mamba create --name myenvname bioconductor-monocle
with
myenvnamebeing a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/bioconductor-monocle:<tag> (see `bioconductor-monocle/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-monocle/README.html)
