recipe bioconductor-asurat

Functional annotation-driven unsupervised clustering for single-cell data

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/ASURAT.html

License:

GPL-3 + file LICENSE

Recipe:

/bioconductor-asurat/meta.yaml

ASURAT is a software for single-cell data analysis. Using ASURAT, one can simultaneously perform unsupervised clustering and biological interpretation in terms of cell type, disease, biological process, and signaling pathway activity. Inputting a single-cell RNA-seq data and knowledge-based databases, such as Cell Ontology, Gene Ontology, KEGG, etc., ASURAT transforms gene expression tables into original multivariate tables, termed sign-by-sample matrices (SSMs).

package bioconductor-asurat

Versions:

1.2.0-0

Depends:

• bioconductor-complexheatmap >=2.14.0,<2.15.0

• bioconductor-s4vectors >=0.36.0,<0.37.0

• bioconductor-singlecellexperiment >=1.20.0,<1.21.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• libblas >=3.9.0,<4.0a0

• libgcc-ng >=12

• liblapack >=3.9.0,<4.0a0

• libstdcxx-ng >=12

• r-base >=4.2,<4.3.0a0

• r-circlize

• r-cluster

• r-plot3d

• r-rcpp >=1.0.7

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-asurat

and update with:

conda update bioconductor-asurat

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-asurat:<tag>

(see bioconductor-asurat/tags for valid values for <tag>)

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-asurat/README.html)