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This is the development version of Melissa; for the stable release version, see Melissa.

Bayesian clustering and imputationa of single cell methylomes

Bioconductor version: Development (3.20)

Melissa is a Baysian probabilistic model for jointly clustering and imputing single cell methylomes. This is done by taking into account local correlations via a Generalised Linear Model approach and global similarities using a mixture modelling approach.

Author: C. A. Kapourani [aut, cre]

Maintainer: C. A. Kapourani <kapouranis.andreas at>

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


To install this package, start R (version "4.4") and enter:

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

# The following initializes usage of Bioc devel


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:

1: Process and filter scBS-seq data HTML R Script
2: Cluster and impute scBS-seq data using Melissa HTML R Script
Reference Manual PDF


biocViews Bayesian, Clustering, Coverage, DNAMethylation, Epigenetics, FeatureExtraction, GeneExpression, GeneRegulation, Genetics, ImmunoOncology, KEGG, RNASeq, Regression, Sequencing, SingleCell, Software
Version 1.21.0
In Bioconductor since BioC 3.9 (R-3.6) (5 years)
License GPL-3 | file LICENSE
Depends R (>= 3.5.0), BPRMeth, GenomicRanges
Imports data.table, parallel, ROCR, matrixcalc, mclust, ggplot2, doParallel, foreach, MCMCpack, cowplot, magrittr, mvtnorm, truncnorm, assertthat, BiocStyle, stats, utils
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Suggests testthat, knitr, rmarkdown
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Follow Installation instructions to use this package in your R session.

Source Package Melissa_1.21.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) Melissa_1.21.0.tgz
macOS Binary (arm64) Melissa_1.21.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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