DOI: 10.18129/B9.bioc.granulator    

This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see granulator.

Rapid benchmarking of methods for *in silico* deconvolution of bulk RNA-seq data

Bioconductor version: 3.13

granulator is an R package for the cell type deconvolution of heterogeneous tissues based on bulk RNA-seq data or single cell RNA-seq expression profiles. The package provides a unified testing interface to rapidly run and benchmark multiple state-of-the-art deconvolution methods. Data for the deconvolution of peripheral blood mononuclear cells (PBMCs) into individual immune cell types is provided as well.

Author: Sabina Pfister [aut, cre], Vincent Kuettel [aut], Enrico Ferrero [aut]

Maintainer: Sabina Pfister <sabina.pfister at>

Citation (from within R, enter citation("granulator")):


To install this package, start R (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:



HTML R Script Deconvoluting bulk RNA-seq data with granulator
PDF   Reference Manual
Text   NEWS


biocViews DifferentialExpression, GeneExpression, RNASeq, Regression, SingleCell, Software, StatisticalMethod, Transcriptomics
Version 1.0.0
In Bioconductor since BioC 3.13 (R-4.1) (< 6 months)
License GPL-3
Depends R (>= 4.1)
Imports cowplot, e1071, epiR, dplyr, dtangle, ggplot2, ggplotify, grDevices, limSolve, magrittr, MASS, nnls, parallel, pheatmap, purrr, rlang, stats, tibble, tidyr, utils
Suggests BiocStyle, knitr, rmarkdown, testthat
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package granulator_1.0.0.tar.gz
Windows Binary (32- & 64-bit)
macOS 10.13 (High Sierra) granulator_1.0.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
Package Short Url
Package Downloads Report Download Stats

Documentation »


R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: