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ASURAT: Functional annotation-driven unsupervised clustering of single-cell transcriptomes

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ASURAT

Brief introduction

ASURAT is a computational pipeline, implemented in the R programming language, for single-cell transcriptomics. Using ASURAT, one can simultaneously perform unsupervised clustering and biological interpretation in terms of cell type, disease, biological process, and signaling pathway activity.

Graphical abstract

Vignettes

Well-documented vignette and tutorial is available from the following URL:

Installation

One can install ASURAT by the following code:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("ASURAT")

Bioconductor

One can find ASURAT in the following Bioconductor page:

Preprint

The latest version is available from the following bioRxiv page:

License

GPL-3

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ASURAT: Functional annotation-driven unsupervised clustering of single-cell transcriptomes

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