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

An R Package for Time Course RNASeq Data Analysis

Bioconductor version: Development (3.20)

Simple and efficient workflow for time-course gene expression data, built on publictly available open-source projects hosted on CRAN and bioconductor. moanin provides helper functions for all the steps required for analysing time-course data using functional data analysis: (1) functional modeling of the timecourse data; (2) differential expression analysis; (3) clustering; (4) downstream analysis.

Author: Elizabeth Purdom [aut] , Nelle Varoquaux [aut, cre]

Maintainer: Nelle Varoquaux <nelle.varoquaux at>

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


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:

The Moanin Package HTML R Script
Reference Manual PDF


biocViews Clustering, DifferentialExpression, GeneExpression, Microarray, RNASeq, Software, TimeCourse
Version 1.13.0
In Bioconductor since BioC 3.13 (R-4.1) (3 years)
License BSD 3-clause License + file LICENSE
Depends R (>= 4.0), SummarizedExperiment, topGO, stats
Imports S4Vectors, MASS (>= 1.0.0), limma, viridis, edgeR, graphics, methods, grDevices, reshape2, NMI, zoo, ClusterR, splines, matrixStats
System Requirements
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Suggests testthat (>= 1.0.0), timecoursedata, knitr, rmarkdown, markdown, covr, BiocStyle
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Follow Installation instructions to use this package in your R session.

Source Package moanin_1.13.0.tar.gz
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macOS Binary (x86_64) moanin_1.13.0.tgz
macOS Binary (arm64) moanin_1.13.0.tgz
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Source Repository (Developer Access) git clone
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